This document is a lecture presentation on electromagnetic fields from the Circuit and Electromagnetic Co-Design Lab at the National Institute of Technology in Rourkela, India. The presentation covers topics like the Helmholtz equation, plane wave solutions in lossless and lossy media, and general plane wave solutions. It derives the wave equation and explores plane wave solutions in various material types, including good conductors. It also examines the wave vector, Poynting vector, and relationships between the electric and magnetic fields for plane wave solutions.
The document discusses linear block codes and their encoding and decoding. It begins by defining linearity and systematic codes. Encoding can be represented by a linear system using generator matrices G, where the codewords c are a linear combination of the message m and G. Decoding uses parity check matrices H, where the syndrome s is computed as the received word r multiplied by H. For Hamming codes, the syndrome corresponds to the location of a single error.
The document discusses different types of filters including low pass, high pass, band pass, and band reject filters. It provides details on passive and active low pass and high pass filters. For low pass filters, it explains that they pass low frequencies and attenuate high frequencies, with the cutoff frequency determining where signals start to be reduced. For high pass filters, it describes that they pass high frequencies and attenuate low frequencies below the cutoff point. Examples are given of simple passive RC low and high pass filter circuits and how to create active versions using op-amps for amplification and gain control while maintaining the same frequency response.
This document discusses bandwidth requirements for FM signals. It explains that theoretically an FM signal has infinite bandwidth due to its infinite number of sidebands, but practically the bandwidth is finite. Carson's rule provides an approximate value for transmission bandwidth regardless of modulation index. The 1% bandwidth method defines bandwidth as the number of spectral components where the last component's amplitude is at least 1% of the carrier amplitude. A universal curve relates bandwidth to frequency deviation ratio. Examples calculate deviation, index, bandwidth and power for various FM signals.
Dr. Neeraj Kumar Misra is an Associate Professor who teaches Information Theory and Coding. Some of his qualifications and accomplishments include: a Ph.D from VIT-AP University under a TEQIP-II fellowship, a postgraduate diploma in artificial intelligence and machine learning from NIT Warangle, three granted international patents, over 9 years of teaching and industry experience, 14 publications in SCI journals, and 325 citations on Google Scholar with an h-index of 11. He is a professional member of several organizations and serves on the editorial boards of multiple journals.
The document summarizes the Ford-Fulkerson algorithm for finding the maximum flow in a flow network. It defines key terms like flow network, source, sink, flow, residual graph and augmented path. It then outlines the steps of the Ford-Fulkerson algorithm to incrementally send flow along augmented paths from the source to the sink until no more such paths exist. An example applying the algorithm to find the maximum flow in a sample network is provided with illustrations of the residual capacities after each flow augmentation.
Broadside Array vs end-fire array
Higher directivity.
Provide increased directivity in
elevation and azimuth planes.
Generally used for reception.
Impedance match difficulty in
high power transmissions.
Variants are:
Horizontal Array of Dipoles
RCA Fishborne Antenna
Series Phase Array
This document discusses transmission impairment, which refers to degradation of signals as they travel through transmission media. There are three main causes of transmission impairment: 1) attenuation, which is the loss of signal energy as it passes through a medium, 2) distortion, which is a change in the signal's form or shape, such as different frequency components arriving at different times, and 3) noise, which adds unwanted signals from sources like thermal effects, interference, or crosstalk between wires. Attenuation is measured in decibels and can be compensated for using amplifiers, while signal to noise ratio (SNR) measures the quality of a transmission system by comparing the signal strength to the noise power.
This document discusses bit rate, baud rate, serial and parallel transmission, and multiplexing. It begins by defining bit rate as the number of bits transmitted per second and baud rate as the number of signal elements transmitted per second. It then describes serial transmission, which transmits bits one after the other using a single wire, and parallel transmission, which transmits multiple bits simultaneously over multiple wires. The document also covers synchronous and asynchronous serial transmission. Finally, it discusses multiplexing techniques including FDM, TDM, and WDM which allow multiple signals to be transmitted over the same medium.
The document discusses linear block codes and their encoding and decoding. It begins by defining linearity and systematic codes. Encoding can be represented by a linear system using generator matrices G, where the codewords c are a linear combination of the message m and G. Decoding uses parity check matrices H, where the syndrome s is computed as the received word r multiplied by H. For Hamming codes, the syndrome corresponds to the location of a single error.
The document discusses different types of filters including low pass, high pass, band pass, and band reject filters. It provides details on passive and active low pass and high pass filters. For low pass filters, it explains that they pass low frequencies and attenuate high frequencies, with the cutoff frequency determining where signals start to be reduced. For high pass filters, it describes that they pass high frequencies and attenuate low frequencies below the cutoff point. Examples are given of simple passive RC low and high pass filter circuits and how to create active versions using op-amps for amplification and gain control while maintaining the same frequency response.
This document discusses bandwidth requirements for FM signals. It explains that theoretically an FM signal has infinite bandwidth due to its infinite number of sidebands, but practically the bandwidth is finite. Carson's rule provides an approximate value for transmission bandwidth regardless of modulation index. The 1% bandwidth method defines bandwidth as the number of spectral components where the last component's amplitude is at least 1% of the carrier amplitude. A universal curve relates bandwidth to frequency deviation ratio. Examples calculate deviation, index, bandwidth and power for various FM signals.
Dr. Neeraj Kumar Misra is an Associate Professor who teaches Information Theory and Coding. Some of his qualifications and accomplishments include: a Ph.D from VIT-AP University under a TEQIP-II fellowship, a postgraduate diploma in artificial intelligence and machine learning from NIT Warangle, three granted international patents, over 9 years of teaching and industry experience, 14 publications in SCI journals, and 325 citations on Google Scholar with an h-index of 11. He is a professional member of several organizations and serves on the editorial boards of multiple journals.
The document summarizes the Ford-Fulkerson algorithm for finding the maximum flow in a flow network. It defines key terms like flow network, source, sink, flow, residual graph and augmented path. It then outlines the steps of the Ford-Fulkerson algorithm to incrementally send flow along augmented paths from the source to the sink until no more such paths exist. An example applying the algorithm to find the maximum flow in a sample network is provided with illustrations of the residual capacities after each flow augmentation.
Broadside Array vs end-fire array
Higher directivity.
Provide increased directivity in
elevation and azimuth planes.
Generally used for reception.
Impedance match difficulty in
high power transmissions.
Variants are:
Horizontal Array of Dipoles
RCA Fishborne Antenna
Series Phase Array
This document discusses transmission impairment, which refers to degradation of signals as they travel through transmission media. There are three main causes of transmission impairment: 1) attenuation, which is the loss of signal energy as it passes through a medium, 2) distortion, which is a change in the signal's form or shape, such as different frequency components arriving at different times, and 3) noise, which adds unwanted signals from sources like thermal effects, interference, or crosstalk between wires. Attenuation is measured in decibels and can be compensated for using amplifiers, while signal to noise ratio (SNR) measures the quality of a transmission system by comparing the signal strength to the noise power.
This document discusses bit rate, baud rate, serial and parallel transmission, and multiplexing. It begins by defining bit rate as the number of bits transmitted per second and baud rate as the number of signal elements transmitted per second. It then describes serial transmission, which transmits bits one after the other using a single wire, and parallel transmission, which transmits multiple bits simultaneously over multiple wires. The document also covers synchronous and asynchronous serial transmission. Finally, it discusses multiplexing techniques including FDM, TDM, and WDM which allow multiple signals to be transmitted over the same medium.
A Presentation About Array Manipulation(Insertion & Deletion in an array)Imdadul Himu
The document discusses arrays, which are collections of same-typed data organized in a sequence. It describes one-dimensional, two-dimensional, and multi-dimensional arrays. Initialization of arrays involves declaring the type, name, and size. Values can be initialized individually or in sets within curly braces. Loops are used to input or search values in arrays, running from 0 to the size minus 1. Two-dimensional arrays are often considered multi-dimensional and allow nested looping through rows and columns. Deletion in arrays involves replacing matching values with 0.
This document discusses Karnaugh maps (K-maps), a method for simplifying Boolean algebra expressions. It begins by stating that K-maps allow for minimized results with less calculation compared to Boolean algebra alone. The document then covers the basics of K-maps, including how to represent different numbers of variables and the rules for grouping ones and zeros. It provides examples of using K-maps to minimize functions with 2 to 5 variables. Finally, it discusses extensions of K-maps, such as incorporating don't cares, using maxterms instead of minterms, and when the Quine-McCluskey method is preferable to K-maps for problems with many variables.
This document discusses combinational circuits. It defines a combinational circuit as a circuit whose output depends only on the current input levels and not previous states. Combinational circuits do not use memory. The document lists three categories of combinational circuits: arithmetic and logical functions, data transmission, and code conversion. It provides adder circuits as examples, defining a half adder and full adder, and including their truth tables.
This presentation was made for CSE student to understand easily quick sort algorithm to implement quick algorithm. So if u want to learn quick sort than watch it.
A Karnaugh map is a pictorial method for minimizing Boolean expressions without using Boolean algebra. It groups adjacent ones in a truth table together according to certain rules: groups cannot include zeros, must be horizontal/vertical not diagonal, contain a power of 2 number of cells, be as large as possible, include every one, can overlap, and wrap around. The goal is to find the minimum number of groups to simplify the expression.
Linear probing is a collision resolution technique for hash tables that uses open addressing. When a collision occurs by inserting a key-value pair, linear probing searches through consecutive table indices to find the next empty slot. This provides constant expected time for search, insertion, and deletion when using a random hash function. However, linear probing can cause clustering where many elements are stored near each other, degrading performance.
104623 time division multiplexing (transmitter, receiver,commutator)Devyani Gera
Time Division Multiplexing (TDM) is a technique that transmits multiple message signals over a single communication channel by dividing the time frame into time slots, with one time slot for each message signal. TDM transmits samples of each signal in sequential time slots using techniques like PAM. There are two main types of TDM: synchronous TDM where all signals use the same sampling rate, and asynchronous TDM where different signals can use different sampling rates. The document then provides examples and problems demonstrating the application of TDM techniques.
1) The document discusses various topics related to digital communication including sampling theory, analog to digital conversion, pulse code modulation, quantization, coding, and time division multiplexing.
2) In analog to digital conversion, an analog signal is sampled, quantized by assigning it to discrete amplitude levels, and coded by mapping each level to a binary sequence.
3) The Nyquist sampling theorem states that a signal must be sampled at a rate at least twice its highest frequency to avoid aliasing when reconstructing the original signal.
Digital Signal Processing[ECEG-3171]-Ch1_L05Rediet Moges
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
#Africa#Ethiopia
The document discusses calculating the discrete Fourier transform (DFT) using a matrix method. It involves representing the DFT as a matrix multiplication of an N×N twiddle factor matrix and an N×1 input vector. The twiddle factor matrix contains elements that are powers of the Nth root of unity. An example calculates the 4-point DFT of the vector [1, 2, 0, 1] by multiplying it by the twiddle factor matrix.
This document discusses various sorting algorithms and their complexities. It begins by defining an algorithm and complexity measures like time and space complexity. It then defines sorting and common sorting algorithms like bubble sort, selection sort, insertion sort, quicksort, and mergesort. For each algorithm, it provides a high-level overview of the approach and time complexity. It also covers sorting algorithm concepts like stable and unstable sorting. The document concludes by discussing future directions for sorting algorithms and their applications.
The document discusses different types of antennas used for radio transmission and reception. It categorizes antennas into several groups: log periodic antennas, wire antennas, travelling wave antennas, microwave antennas, and reflector antennas. Within each category, specific antenna types are described, including their basic design and purpose. Key antenna types mentioned include dipole antennas, monopole antennas, Yagi-Uda arrays, parabolic reflectors, horn antennas, and slot antennas.
The document discusses different types of line coding techniques used for digital data transmission. It describes unipolar signaling techniques like non-return to zero (NRZ) and return to zero (RZ). It also covers polar, bipolar, and Manchester signaling techniques. For each technique, it provides details on how binary ones and zeros are represented, as well as the advantages and disadvantages of each approach. The document aims to educate readers on various line coding methods and their characteristics.
This document provides an overview of character and string processing in Java. It discusses character data types, string classes like String, StringBuilder and StringBuffer, regular expressions for pattern matching, and examples of string manipulation methods. The document then presents a problem statement and overall plan to build a word concordance program that counts word frequencies in a given text document. It outlines a 4-step process to develop the program, including defining class structures, opening/saving files, building the word list, and finalizing the code.
The document discusses hash tables and hashing techniques. It describes how hash tables use a hash function to map keys to positions in a table. Collisions can occur if multiple keys map to the same position. There are two main approaches to handling collisions - open hashing which stores collided items in linked lists, and closed hashing which uses techniques like linear probing to find alternate positions in the table. The document also discusses various hash functions and their properties, like minimizing collisions.
Quadrature amplitude modulation (QAM) is a modulation technique that encodes data by changing both the amplitude and phase of carrier waves. It allows more data to be transmitted over a given bandwidth compared to techniques that only vary the amplitude or phase. QAM modulators use two carrier waves shifted in phase by 90 degrees that are modulated by separate data streams before being combined. Higher order QAM schemes use constellations with more points that allow more bits to be encoded per symbol. While this improves bandwidth efficiency, it also makes the system more susceptible to noise. QAM is widely used in technologies like DSL, wireless networks, cable TV, and microwave backhaul systems.
Waveguides and its Types Field view and structuresAvishishtKumar
The document discusses rectangular waveguides, including their modes of propagation, fields inside, cutoff frequency, and propagation constant. It explains the transverse electric (TE) and transverse magnetic (TM) modes, showing the electric and magnetic field configurations and equations for each. Examples of electric and magnetic field views are also shown for different TE modes inside the rectangular waveguide.
This document discusses decimation and interpolation using polyphase filters. It begins by defining decimation and interpolation and describing how decimators use anti-aliasing filters followed by downsamplers, while interpolators use upsamplers followed by anti-imaging filters. It then presents the principles of polyphase decimation and interpolation, showing how they can be represented in both the time and z-transform domains. This allows implementing decimators and interpolators more efficiently using fewer filter operations and less memory than traditional implementations.
Microwave is a descriptive term used to identify EM waves in the frequency spectrum ranging approximately from 1 GHz to 30 GHz.
This corresponds to wavelength from 30 cm to 1 cm (λ = c/f).Sometimes higher frequency ranging upto 600 GHz are also called Microwaves
EWS
ECM
ESM
ECCM
Microwave Heating
Industrial Heating
Microwave oven
Industrial,Scientific,Medical
Linear Acclerators
Plasma Containment
Radio Astronomy
Whole body cancer theraphy
The document provides information about decomposing electromagnetic fields in waveguides into longitudinal and transverse components. It introduces the key concepts of cutoff frequency, cutoff wavelength, propagation constant, transverse impedances, and relates them through important equations. Several types of waveguide modes (TEM, TE, TM, hybrid) are also defined based on which field components are nonzero.
A Presentation About Array Manipulation(Insertion & Deletion in an array)Imdadul Himu
The document discusses arrays, which are collections of same-typed data organized in a sequence. It describes one-dimensional, two-dimensional, and multi-dimensional arrays. Initialization of arrays involves declaring the type, name, and size. Values can be initialized individually or in sets within curly braces. Loops are used to input or search values in arrays, running from 0 to the size minus 1. Two-dimensional arrays are often considered multi-dimensional and allow nested looping through rows and columns. Deletion in arrays involves replacing matching values with 0.
This document discusses Karnaugh maps (K-maps), a method for simplifying Boolean algebra expressions. It begins by stating that K-maps allow for minimized results with less calculation compared to Boolean algebra alone. The document then covers the basics of K-maps, including how to represent different numbers of variables and the rules for grouping ones and zeros. It provides examples of using K-maps to minimize functions with 2 to 5 variables. Finally, it discusses extensions of K-maps, such as incorporating don't cares, using maxterms instead of minterms, and when the Quine-McCluskey method is preferable to K-maps for problems with many variables.
This document discusses combinational circuits. It defines a combinational circuit as a circuit whose output depends only on the current input levels and not previous states. Combinational circuits do not use memory. The document lists three categories of combinational circuits: arithmetic and logical functions, data transmission, and code conversion. It provides adder circuits as examples, defining a half adder and full adder, and including their truth tables.
This presentation was made for CSE student to understand easily quick sort algorithm to implement quick algorithm. So if u want to learn quick sort than watch it.
A Karnaugh map is a pictorial method for minimizing Boolean expressions without using Boolean algebra. It groups adjacent ones in a truth table together according to certain rules: groups cannot include zeros, must be horizontal/vertical not diagonal, contain a power of 2 number of cells, be as large as possible, include every one, can overlap, and wrap around. The goal is to find the minimum number of groups to simplify the expression.
Linear probing is a collision resolution technique for hash tables that uses open addressing. When a collision occurs by inserting a key-value pair, linear probing searches through consecutive table indices to find the next empty slot. This provides constant expected time for search, insertion, and deletion when using a random hash function. However, linear probing can cause clustering where many elements are stored near each other, degrading performance.
104623 time division multiplexing (transmitter, receiver,commutator)Devyani Gera
Time Division Multiplexing (TDM) is a technique that transmits multiple message signals over a single communication channel by dividing the time frame into time slots, with one time slot for each message signal. TDM transmits samples of each signal in sequential time slots using techniques like PAM. There are two main types of TDM: synchronous TDM where all signals use the same sampling rate, and asynchronous TDM where different signals can use different sampling rates. The document then provides examples and problems demonstrating the application of TDM techniques.
1) The document discusses various topics related to digital communication including sampling theory, analog to digital conversion, pulse code modulation, quantization, coding, and time division multiplexing.
2) In analog to digital conversion, an analog signal is sampled, quantized by assigning it to discrete amplitude levels, and coded by mapping each level to a binary sequence.
3) The Nyquist sampling theorem states that a signal must be sampled at a rate at least twice its highest frequency to avoid aliasing when reconstructing the original signal.
Digital Signal Processing[ECEG-3171]-Ch1_L05Rediet Moges
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
#Africa#Ethiopia
The document discusses calculating the discrete Fourier transform (DFT) using a matrix method. It involves representing the DFT as a matrix multiplication of an N×N twiddle factor matrix and an N×1 input vector. The twiddle factor matrix contains elements that are powers of the Nth root of unity. An example calculates the 4-point DFT of the vector [1, 2, 0, 1] by multiplying it by the twiddle factor matrix.
This document discusses various sorting algorithms and their complexities. It begins by defining an algorithm and complexity measures like time and space complexity. It then defines sorting and common sorting algorithms like bubble sort, selection sort, insertion sort, quicksort, and mergesort. For each algorithm, it provides a high-level overview of the approach and time complexity. It also covers sorting algorithm concepts like stable and unstable sorting. The document concludes by discussing future directions for sorting algorithms and their applications.
The document discusses different types of antennas used for radio transmission and reception. It categorizes antennas into several groups: log periodic antennas, wire antennas, travelling wave antennas, microwave antennas, and reflector antennas. Within each category, specific antenna types are described, including their basic design and purpose. Key antenna types mentioned include dipole antennas, monopole antennas, Yagi-Uda arrays, parabolic reflectors, horn antennas, and slot antennas.
The document discusses different types of line coding techniques used for digital data transmission. It describes unipolar signaling techniques like non-return to zero (NRZ) and return to zero (RZ). It also covers polar, bipolar, and Manchester signaling techniques. For each technique, it provides details on how binary ones and zeros are represented, as well as the advantages and disadvantages of each approach. The document aims to educate readers on various line coding methods and their characteristics.
This document provides an overview of character and string processing in Java. It discusses character data types, string classes like String, StringBuilder and StringBuffer, regular expressions for pattern matching, and examples of string manipulation methods. The document then presents a problem statement and overall plan to build a word concordance program that counts word frequencies in a given text document. It outlines a 4-step process to develop the program, including defining class structures, opening/saving files, building the word list, and finalizing the code.
The document discusses hash tables and hashing techniques. It describes how hash tables use a hash function to map keys to positions in a table. Collisions can occur if multiple keys map to the same position. There are two main approaches to handling collisions - open hashing which stores collided items in linked lists, and closed hashing which uses techniques like linear probing to find alternate positions in the table. The document also discusses various hash functions and their properties, like minimizing collisions.
Quadrature amplitude modulation (QAM) is a modulation technique that encodes data by changing both the amplitude and phase of carrier waves. It allows more data to be transmitted over a given bandwidth compared to techniques that only vary the amplitude or phase. QAM modulators use two carrier waves shifted in phase by 90 degrees that are modulated by separate data streams before being combined. Higher order QAM schemes use constellations with more points that allow more bits to be encoded per symbol. While this improves bandwidth efficiency, it also makes the system more susceptible to noise. QAM is widely used in technologies like DSL, wireless networks, cable TV, and microwave backhaul systems.
Waveguides and its Types Field view and structuresAvishishtKumar
The document discusses rectangular waveguides, including their modes of propagation, fields inside, cutoff frequency, and propagation constant. It explains the transverse electric (TE) and transverse magnetic (TM) modes, showing the electric and magnetic field configurations and equations for each. Examples of electric and magnetic field views are also shown for different TE modes inside the rectangular waveguide.
This document discusses decimation and interpolation using polyphase filters. It begins by defining decimation and interpolation and describing how decimators use anti-aliasing filters followed by downsamplers, while interpolators use upsamplers followed by anti-imaging filters. It then presents the principles of polyphase decimation and interpolation, showing how they can be represented in both the time and z-transform domains. This allows implementing decimators and interpolators more efficiently using fewer filter operations and less memory than traditional implementations.
Microwave is a descriptive term used to identify EM waves in the frequency spectrum ranging approximately from 1 GHz to 30 GHz.
This corresponds to wavelength from 30 cm to 1 cm (λ = c/f).Sometimes higher frequency ranging upto 600 GHz are also called Microwaves
EWS
ECM
ESM
ECCM
Microwave Heating
Industrial Heating
Microwave oven
Industrial,Scientific,Medical
Linear Acclerators
Plasma Containment
Radio Astronomy
Whole body cancer theraphy
The document provides information about decomposing electromagnetic fields in waveguides into longitudinal and transverse components. It introduces the key concepts of cutoff frequency, cutoff wavelength, propagation constant, transverse impedances, and relates them through important equations. Several types of waveguide modes (TEM, TE, TM, hybrid) are also defined based on which field components are nonzero.
1) Maxwell's equations describe electromagnetic waves propagating through space and time. For time-varying fields, the full set of Maxwell's equations must be used.
2) By assuming time-harmonic fields with a sinusoidal time variation, Maxwell's equations can be simplified to phasor forms containing only spatial derivatives.
3) The phasor forms of Maxwell's equations can be reduced to Helmholtz wave equations for the electric and magnetic fields. Plane wave solutions representing uniform electromagnetic waves propagating in a given direction can be derived from these equations.
1) Maxwell's equations describe electromagnetic phenomena and relate electric and magnetic fields.
2) Charged particles move in curved paths due to electromagnetic fields, following the Lorentz force law. In a uniform magnetic field, particles follow helical trajectories with a characteristic gyrofrequency.
3) Electromagnetic waves propagate as oscillating electric and magnetic fields obeying the wave equation. Their speed in a vacuum is the speed of light.
1. The document discusses various electromagnetic boundary conditions including:
- Electric and magnetic field boundary conditions between dielectric-dielectric interfaces where the normal component of B and tangential component of E are continuous.
- Conductor-dielectric boundary conditions where the surface charge density is related to the normal electric field component.
2. Faraday's law relates the rate of change of magnetic flux through a loop to the induced electromotive force around the loop. Lenz's law states that the induced current will flow such that it creates a magnetic field opposing the original change in flux.
3. The plane wave solution for electromagnetic waves in free space represents the electric and magnetic fields as propagating sinusoidal functions of space and time with
1. The document discusses electric flux and Gauss's law. It defines electric flux as the measure of the strength of the electric field penetrating a surface, and gives the formula for calculating electric flux.
2. Gauss's law states that the net electric flux through a closed surface is equal to the electric charge enclosed divided by the permittivity of free space. The document provides examples of calculating electric flux and applying Gauss's law.
3. Key concepts covered include the relationship between electric field and flux, the effect of angle between field and area on flux, and using Gauss's law to determine flux through a surface based on enclosed charge.
This document provides lecture notes on high voltage engineering. It introduces the concepts of electric potential, electric field intensity, electric flux density, and volume charge density. It describes how Poisson's equation and Laplace's equation relate these concepts and can be used to determine potential distributions. It then discusses several numerical methods for solving Laplace's equation, including the finite difference method (FDM), finite element method (FEM), and others. FDM uses a grid to approximate derivatives and solve for potential values iteratively. FEM seeks to minimize the total electric field energy by dividing the region into discrete elements and solving a system of equations relating node potentials.
1) The document discusses electric field intensity due to various charge distributions including point charges, line charges, and charge distributions on surfaces.
2) It provides examples calculating the electric field intensity at given points due to single or multiple point charges using the inverse square law expression for a point charge.
3) Another example calculates the electric field intensity at the center of an equilateral triangle formed by three line charges of different linear charge densities arranged along the sides.
This document discusses several topics in electrostatics including:
1. Coulomb's law which states that the electrostatic force between two point charges is directly proportional to the product of their magnitudes and inversely proportional to the square of the distance between them.
2. Electric dipoles which have a dipole moment defined as a vector from the negative to positive charge. An external electric field does no work on a dipole but exerts a torque tending to align it with the field.
3. The potential energy of an electric dipole in an external electric field which is minimum when the dipole is aligned with the field.
The document discusses optical properties of semiconductors. It begins by introducing Maxwell's equations and how they describe light propagation in a medium with both bound and free electrons. The complex refractive index is then derived, which accounts for changes to the light's velocity and damping due to absorption. Reflectivity and transmission through a thin semiconductor slab are also examined. Key equations for the complex refractive index, reflectivity, and transmission through a thin slab are provided.
Maxwell's Equations describe the fundamental interactions between electric and magnetic fields. They consist of four equations:
1) Gauss's law relates electric charge density to electric field.
2) Gauss's law for magnetism states that magnetic monopoles have not been observed.
3) Faraday's law describes how a changing magnetic field induces an electric field.
4) Ampere-Maxwell law relates electric current and changing electric fields to magnetic fields.
Together, Maxwell's Equations show that changing electric and magnetic fields propagate as electromagnetic waves moving at the speed of light.
Maxwell's Equations describe the fundamental interactions between electric and magnetic fields. They consist of four equations:
1) Gauss's law relates electric charge density to electric field.
2) Gauss's law for magnetism states that magnetic monopoles have not been observed.
3) Faraday's law describes how a changing magnetic field induces an electric field.
4) Ampere-Maxwell law relates electric current and changing electric fields to magnetic fields.
Together, these equations show that changing electric and magnetic fields propagate as electromagnetic waves travelling at the speed of light.
1 ECE 6340 Fall 2013 Homework 8 Assignment.docxjoyjonna282
1
ECE 6340
Fall 2013
Homework 8
Assignment: Please do Probs. 1-9 and 13 from the set below.
1) In dynamics, we have the equation
E j Aω= − −∇Φ .
(a) Show that in statics, the scalar potential function Φ can be interpreted as a voltage
function. That is, show that in statics
( ) ( )
B
AB
A
V E dr A B≡ ⋅ = Φ −Φ∫ .
(b) Next, explain why this equation is not true (in general) in dynamics.
(c) Explain why the voltage drop (defined as the line integral of the electric field, as
defined above) depends on the path from A to B in dynamics, using Faraday’s law.
(d) Does the right-hand side of the above equation (the difference in the potential
function) depend on the path, in dynamics?
Hint: Note that, according to calculus, for any function ψ we have
dr dx dy dz d
x y z
ψ ψ ψ
ψ ψ
∂ ∂ ∂
∇ ⋅ = + + =
∂ ∂ ∂
.
2) Starting with Maxwell’s equations, show that the electric field radiated by an impressed
current density source J i in an infinite homogeneous region satisfies the equation
( )2 2 iE k E E j Jωµ∇ + = ∇ ∇⋅ + .
Then use Ampere’s law (or, if you prefer, the continuity equation and the electric Gauss
law) to show that this equation may be written as
( )2 2 1 i iE k E J j J
j
ωµ
σ ωε
∇ + = − ∇ ∇⋅ +
+
.
2
Note that the total current density is the sum of the impressed current density and the
conduction current density, the latter obeying Ohm’s law (J c = σE).
Explain why this equation for the electric field would be harder to solve than the equation
that was derived in class for the magnetic vector potential.
3) Show that magnetic field radiated by an impressed current density source satisfies the
equation
2 2 iH k H J∇ + = −∇× .
Explain why this equation for the magnetic field would be harder to solve than the
equation that was derived in class for the magnetic vector potential.
4) Show that in a homogenous region of space the scalar electric potential satisfies the
equation
2 2
i
v
c
k
ρ
ε
∇ Φ + Φ = − ,
where ivρ is the impressed (source) charge density, which is the charge density that goes
along with the impressed current density, being related by
i ivJ jωρ∇⋅ = −
Hint: Start with E j Aω= − −∇Φ and take the divergence of both sides. Also, take the
divergence of both sides of Ampere’s law and use the continuity equation for the
impressed current (given above) to show that
1 ii v
c c
E J
j
ρ
ωε ε
∇⋅ = − ∇⋅ = .
Note: It is also true from the electric Gauss law that
vE
ρ
ε
∇⋅ = ,
but we prefer to have only an impressed (source) charge density on the right-hand side of
the equation for the potential Φ. In the time-harmonic steady state, assuming a
homogeneous and isotropic region, it follows that ρv = ρvi. That is, there is no charge
3
density arising from the conduction current. (If there were no impressed current sources,
the total charge density would therefore be ze ...
This document provides an introduction to electromagnetic theory, beginning with Maxwell's equations. It covers electrostatics, including Gauss' law and the Poisson equation. Magnetostatics, including Ampere's and Biot-Savart laws, are also discussed. The static scalar and vector potentials are introduced. Non-static fields, including electromagnetic waves and their propagation in conductors like RF cavities and waveguides, are then covered. Examples of allowed field patterns and modes in RF structures are shown.
1) Rectangular waveguides can transmit electromagnetic waves above a certain cutoff frequency, acting as a high-pass filter. They support transverse electric (TE) and transverse magnetic (TM) modes of propagation.
2) For TM modes, the electric field is transverse to the direction of propagation, while the magnetic field has a longitudinal component. The modes are denoted TMmn, with m and n indicating the number of half-wavelength variations across the width and height.
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Electromagnetic.pdf
1. National Institute of Technology
Rourkela
Electromagnetic Fields
EE3004 : Electromagnetic Field Theory
Dr. Rakesh Sinha
(Assistant Professor)
Circuit and Electromagnetic Co-Design Lab at NITR
Department of Electrical Engineering
National Institute of Technology (NIT) Rourkela
February 10, 2023
2. Circuit-EM Co-Design Lab
Outline
1 The Helmholtz Equation
2 GENERAL PLANE WAVE SOLUTIONS
3 Energy and Power
4 PLANE WAVE REFLECTION FROM A MEDIA INTERFACE
5 OBLIQUE INCIDENCE AT A DIELECTRIC INTERFACE
6 Total Reflection and Surface Waves
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4. Circuit-EM Co-Design Lab
Maxwell Equations
❑ The general form of time-varying Maxwell equations, then, can be written
in "point," or differential, form as
∇ × Ē = −
∂B̄
∂t
− M
∇ × H =
∂D
∂t
+ ¯
J
∇ · D = ρ
∇ · B = 0
4/43
5. Circuit-EM Co-Design Lab
Maxwell Equations
❑ Assuming an ejow
time dependence, we can replace the time derivatives
with jω.
❑ Maxwell’s equations in phasor form then become
∇ × Ē = −jωB̄ − M̄
∇ × H̄ = jωD̄ + ¯
J
∇ · D̄ = ρ
∇ · B̄ = 0
5/43
6. Circuit-EM Co-Design Lab
The Wave Equation
❑ In a source-free, linear, isotropic, homogeneous region, Maxwell’s curl
equations in phasor form are
∇ × Ē = −jωµH̄
∇ × H̄ = jωϵĒ
❑ Constitute two equations for the two unknowns, Ē and H̄
❑ As such, they can be solved for either Ē or H̄.
❑ Taking the curl of ∇ × Ē = −jωµH̄ and using ∇ × H̄ = jωϵĒ gives
∇ × ∇ × Ē = −jωµ∇ × H̄ = ω2
µϵĒ
which is an equation for Ē.
❑ Using the vector identity ∇ × ∇ × Ā = ∇(∇ · Ā) − ∇2
Ā, we can write
∇2
Ē + ω2
µϵĒ = 0
because ∇ · Ē = 0 in a source-free region.
6/43
7. Circuit-EM Co-Design Lab
The Wave Equation
❑ An identical equation for H̄ can be derived in the same manner:
∇2
H̄ + ω2
µϵH̄ = 0
A constant k = ω
√
µϵ is defined and called the propagation constant (also
known as the phase constant, or wave number , of the medium; its units
are 1/m.
❑ In general form the wave equation can be written as
∇2
Ψ̄ + k2
Ψ̄ = 0
where
k = ω
√
µϵ = ω
√
ϵrµr
√
ϵ0µ0 ≈ ω
√
ϵrµr
r
1
36π×109
(4π × 10−7) =
ω
√
ϵrµr
c
7/43
8. Circuit-EM Co-Design Lab
Plane Waves in a Lossless Medium
❑ In a lossless medium, ϵ and µ are real numbers, and k is real.
❑ A basic plane wave solution to the above wave equations can be found by
considering an electric field with only an x̂ component and uniform (no
variation) in the x and y directions.
❑ Then, ∂/∂x = ∂/∂y = 0, and the Helmholtz equation reduces to
∂2
Ex
∂z2
+ k2
Ex = 0
❑ The two independent solutions to this equation are easily seen, by
substitution, to be of the form
Ex(z) = E+
e−jkz
+ E−
ejkz
where E+
and E−
are phasor of forward and backward wave.
❑ The above solution is for the time harmonic case at frequency ω.
❑ In the time domain, this result is written as
Ex(z, t) = |E+
| cos(ωt − kz + ∠E+
) + |E−
| cos(ωt + kz + ∠E−
)
where we have assumed that E+
and E−
are real constants.
8/43
9. Circuit-EM Co-Design Lab
Plane Waves in a Lossless Medium
❑ First term represents a wave traveling in the +z direction because, to
maintain a fixed point on the wave (cot −kz = constant), one must move
in the +z direction as time increases.
❑ Similarly, the second term represents a wave traveling in the negative z
direction-hence the notation |E+
| and |E−
| for these wave amplitudes.
❑ The velocity of the wave in this sense is called the phase velocity
because it is the velocity at which a fixed phase point on the wave travels,
and it is given by
vp =
dz
dt
=
d
dt
ωt − constant
k
=
ω
k
=
1
√
µϵ
❑ In free-space, we have vp = 1/
√
µ0ϵ0 = c = 2.998 × 108
m/sec, which is
the speed of light.
❑ The wavelength, λ, is defined as the distance between two successive
maxima (or minima, or any other reference points) on the wave at a fixed
instant of time.
9/43
10. Circuit-EM Co-Design Lab
Plane Waves in a Lossless Medium
❑ we can write
(ωt − kz) − [ωt − k(z + λ)] = 2π
λ =
2π
k
=
2πvp
ω
=
vp
f
❑ Using Maxwell equations and E-field wave equation we can write
H̄ =
1
−jωµ
∇ × Ē = ŷ
k
ωµ
E+
e−jkz
− E−
ejkz
or
Hy =
j
ωµ
∂Ex
∂z
=
1
η
E+
e−jkz
− E−
ejkz
where η = ωµ/k =
p
µ/ϵ = 120π
p
µr/ϵr is known as the intrinsic
impedance of the medium.
10/43
11. Circuit-EM Co-Design Lab
Plane Waves in a General Lossy Medium
❑ If the medium is conductive, with a conductivity σ, Maxwell’s curl
equations can be written as
∇ × Ē = −jωµH̄
∇ × H̄ = jωĒ + σĒ
❑ The resulting wave equation for Ē then becomes
∇2
Ē + ω2
µϵ
1 − j
σ
ωϵ
Ē = 0
∇2
Ē + k2
Ē = 0
where k2
= ω2
µϵ 1 − j σ
ωϵ
❑ We can define a complex propagation constant for the medium as
γ = α + jβ = jω
√
µϵ
r
1 − j
σ
ωϵ
where α is the attenuation constant and β is the phase constant.
11/43
12. Circuit-EM Co-Design Lab
Plane Waves in a General Lossy Medium
❑ If we again assume an electric field with only an x̂ component and
uniform in x and y, the wave equation reduces to
∂2
Ex
∂z2
− γ2
Ex = 0
which has solutions
Es(z) = E+
e−γz
+ E−
eγz
❑ The positive traveling wave then has a propagation factor of the form
e−γz
= e−αz
e−jβz
which in the time domain is of the form
e−αz
cos(ωt − βz)
12/43
13. Circuit-EM Co-Design Lab
Plane Waves in a General Lossy Medium
❑ We see that this represents a wave traveling in the +z direction with a
phase velocity vp = ω/β, a wavelength λ = 2π/β, and an exponential
damping factor.
❑ The rate of decay with distance is given by the attenuation constant, α.
❑ The negative traveling wave term is similarly damped along the −z axis.
❑ If the loss is removed, σ = 0, and we have γ = jk and α = 0, β = k
❑ Loss can also be treated through the use of a complex permittivity. With
σ = 0 but ϵ = ϵ′
− jϵ′′
complex, we have that
γ = jω
√
µϵ = jk = jω
p
µϵ′(1 − j tan δ)
where tan δ = ϵ′′
/ϵ′
is the loss tangent of the material.
13/43
14. Circuit-EM Co-Design Lab
Plane Waves in a General Lossy Medium
❑ The associated magnetic field can be calculated as
Hy =
j
ωµ
∂Ex
∂z
=
−jγ
ωµ
E+
e−γz
− E−
eγz
❑ The intrinsic impedance of the conducting medium is now complex,
η =
jωµ
γ
but is still identified as the wave impedance, which expresses the ratio of
electric to magnetic field components.
❑ We can rewrite the magnetic field as
Hy =
1
η
E+
e−γz
− E−γz
❑ Note that although η is, in general, complex, it reduces to the lossless
case of
η =
p
µ/ϵ when γ = jk = jω
√
µϵ
14/43
15. Circuit-EM Co-Design Lab
Plane Waves in a Good Conductor
❑ A good conductor is a special case of the preceding analysis, where the
conductive current is much greater than the displacement current, which
means that σ ≫ ωϵ.
❑ Most metals can be categorized as good conductors. In terms of a
complex ϵ, rather than conductivity, this condition is equivalent to ϵ′′
≫ ϵ′
.
❑ The propagation constant can then be adequately approximated by
ignoring the displacement current term, to give
γ = α + jβ ≃ jω
√
µϵ
r
σ
jωϵ
= (1 + j)
r
ωµσ
2
❑ The skin depth or characteristic depth of penetration, is defined as
δs =
1
α
=
r
2
ωµσ
❑ At microwave frequencies, for a good conductor, this distance is very
small.
❑ The practical importance of this result is that only a thin plating of a good
conductor (c.g., silver or gold) is necessary for low-loss microwave
components.
15/43
16. Circuit-EM Co-Design Lab
Plane Waves in a Good Conductor
❑ The intrinsic impedance inside a good conductor can be obtained as
η =
jωµ
γ
≃ (1 + j)
r
ωµ
2σ
= (1 + j)
1
σδs
❑ Notice that the phase angle of this impedance is 45◦
, a characteristic of
good conductors.
❑ The phase angle of the impedance for a lossless material is 0◦
,
❑ The phase angle of the impedance of an arbitrary lossy medium is
somewhere between 0◦
and 45◦
16/43
18. Circuit-EM Co-Design Lab
GENERAL PLANE WAVE SOLUTIONS
❑ In free-space, the Helmholtz equation for Ē can be written as
∇2
Ē + k2
0Ē =
∂2
Ē
∂x2
+
∂2
Ē
∂y2
+
∂2
Ē
∂z2
+ k2
0Ē = 0
❑ This vector wave equation holds for each rectangular component of Ē :
∂2
Ei
∂x2
+
∂2
Ei
∂y2
+
∂2
Ei
∂z2
+ k2
0Ei = 0
where the index i = x, y, or z.
❑ This equation can be solved by the method of separation of variables
❑ Ex, can be written as a product of three functions for each of the three
coordinates:
Ex(x, y, z) = f(x)g(y)h(z)
❑ Substituting this form into Helmholtz equation and dividing by fgh gives
f′′
f
+
g′′
g
+
h′′
h
+ k2
0 = 0
18/43
19. Circuit-EM Co-Design Lab
GENERAL PLANE WAVE SOLUTIONS
❑ f′′
/f is only a function of x, and the remaining terms do not depend on x,
so f′′
/f must be a constant.
f′′
/f = −k2
x; g′′
/g = −k2
y; h′′
/h = −k2
z
or
d2
f
dx2
+ k2
xf = 0;
d2
g
dy2
+ k2
yg = 0;
d2
h
dz2
+ k2
zh = 0
and
k2
x + k2
y + k2
z = k2
0
❑ Solutions to these equations have the forms e±jkxx
, e±jkyy
and e±jkzz
,
respectively.
❑ Consider a plane wave traveling in the positive direction for cach
coordinate and write the complete solution for Ex as
Ex(x, y, z) = Ae−j(kxx+kyy+kzz)
where A is an arbitrary amplitude constant.
19/43
20. Circuit-EM Co-Design Lab
GENERAL PLANE WAVE SOLUTIONS
❑ Now define a wave number vector k̄ as
k̄ = kxx̂ + kyŷ + kzẑ = k0n̂
where |k̄| = k0, and so n̂ is a unit vector in the direction of propagation.
❑ Also define a position vector as
r̄ = xx̂ + yŷ + zẑ
❑ then Ex can be written as
Ex(x, y, z) = Ae−jk̄·r̄
❑ Similarly
Ey(x, y, z) = Be−jk̄·r̄
Ez(x, y, z) = Ce−jk̄·r̄
20/43
21. Circuit-EM Co-Design Lab
GENERAL PLANE WAVE SOLUTIONS
❑ The total electric field can be represented as
Ē = Ē0e−jkj̄
where Ē0 = Ax̂ + Bŷ + Cẑ.
❑ As we know ∇ · Ē = 0, leads to
∇ · Ē = ∇ ·
Ē0e−jk̄·r̄
= Ē0 · ∇e−j⃗
k·r̄
= −jk̄ · Ē0e−jk̄·r̄
= 0
❑ Thus, we must have
k̄ · Ē0 = 0
❑ The electric field amplitude vector Ē0 must be perpendicular to the
direction of propagation, k̄.
❑ The magnetic field can be found from Maxwell’s equation,
∇ × Ē = −jωµ0H̄
21/43
23. Circuit-EM Co-Design Lab
GENERAL PLANE WAVE SOLUTIONS
❑ The time domain expression for the electric field can be found as
E(x, y, z, t) = Re
Ē(x, y, z)ejωt
= Re
n
Ē0e−jk̄.r̄
ejωt
o
= Ē0 cos(k̄ · r̄ − ωt),
❑ Corresponding magnetic field representation is
H(x, y, z, t) = Re
H̄(x, y, z)ejωt
= Re
n
H̄0e−jk̄.r̄
ejωt
o
= H̄0 cos(k̄ · r̄ − ωt)
=
1
η0
n̂ × ¯
E0 cos(k̄ · r̄ − ωt)
23/43
25. Circuit-EM Co-Design Lab
Stored Energy
❑ In the sinusoidal steady-state case, the time-average stored electric
energy in a volume V is given by
We =
1
4
Re
Z
V
Ē · D̄∗
dv
❑ In the case of simple lossless isotropic, homogeneous, linear media,
where ϵ is a real scalar constant, reduces to
We =
ϵ
4
Z
V
Ē · Ē∗
dv
❑ Similarly, the time-average magnetic energy stored in the volume V is
Wm =
1
4
Re
Z
V
H̄ · B̄∗
dv
which becomes
Wm =
µ
4
Z
V
H̄ · H̄∗
dv
for a real, constant, scalar µ
25/43
26. Circuit-EM Co-Design Lab
Poynting’s Theorem
❑ If we have an electric source current ¯
Js and a conduction current σĒ,
then the total electric current density is ¯
J = ¯
Js + σĒ.
❑ Also consider that we have magnetic source current M̄s.
❑ The Maxwell’ equations in frequency domain can be written as
∇ × Ē = −jωµH̄ − M̄ (1)
∇ × H̄ = jωĒ + ¯
J (2)
26/43
27. Circuit-EM Co-Design Lab
Poynting’s Theorem
❑ Multiplying (1) by H̄∗
and multiplying the conjugate of (2) by Ē yields
H̄∗
· (∇ × Ē) = −jωµ|H̄|2
− H̄∗
· M̄s (3)
Ē · ∇ × H̄∗
= Ē · ¯
J∗
− jωϵ∗
|Ē|2
= Ē · ¯
J∗
s + σ|Ē|2
− jωϵ∗
|Ē|2
(4)
❑ Using these two results in vector identity gives
∇ · Ē × H̄∗
= H̄∗
· (∇ × Ē) − Ē · ∇ × H̄∗
(5)
= −σ|Ē|2
+ jω ϵ∗
|Ē|2
− µ|H̄|2
− Ē · ¯
J∗
s + H̄∗
· M̄s
. (6)
❑ Now integrate over a volume V and use the divergence theorem:
Z
V
∇ · Ē × H̄∗
dv =
I
S
Ē × H̄∗
· ds̄ (7)
= −σ
Z
V
|Ē|2
dv + jω
Z
V
ϵ∗
|Ē|2
− µ|H̄|2
dv −
Z
V
Ē · ¯
J∗
s + H̄∗
· M̄s
dv
(8)
where S is a closed surface enclosing the volume V
27/43
28. Circuit-EM Co-Design Lab
Poynting’s Theorem
❑ Considering ϵ = ϵ′
− jϵ′′
and µ = µ′
− jµ′′
to be complex to allow for loss,
and rewriting (7) gives
−
1
2
Z
V
Ē · ¯
J∗
s + H̄∗
· M̄s
dv =
1
2
I
S
Ē × H̄∗
· ds̄ +
σ
2
Z
V
|Ē|2
dv
+
ω
2
Z
V
ϵ′′
|Ē|2
+ µ′′
|H̄|2
dv + j
ω
2
Z
V
µ′
|H̄|2
− ϵ′
|Ē|2
dv (9)
❑ This result is known as Poynting’s theorem, after the physicist J. H.
Poynting ( 1852 − 1914 ), and is basically a power balance equation.
❑ Thus, the integral on the left-hand side represents the complex power Ps
delivered by the sources ¯
Js and M̄s inside S :
Ps = −
1
2
Z
V
Ē · ¯
J∗
s + H̄∗
· M̄s
dv
28/43
29. Circuit-EM Co-Design Lab
Poynting’s Theorem
❑ The first integral on the right-hand side of (9) represents complex power
flow out of the closed surface S.
❑ If we define a quantity S̄, called the Poynting vector, as
S̄ = Ē × H̄∗
❑ Then this power can be expressed as
Po =
1
2
I
S
Ē × H̄∗
· ds̄ =
1
2
I
S
S̄ · ds̄
The surface S in (9) must be a closed surface for this interpretation to be
valid
29/43
33. Circuit-EM Co-Design Lab
Parallel Polarization
❑ In this case the electric field vector lies in the xz plane, and the incident
fields can be written as
Ēi =E0 (x̂ cos θi − ẑ sin θi) e−jk1(x sin θi+z cos θi)
(10)
H̄i =
E0
η1
ŷe−jk1(x sin θi+z cos θi)
(11)
where k1 = ω
√
µ0ϵ1 and η1 =
p
µ0/ϵ1 are the propagation constant and
impedance of region 1.
❑ The reflected and transmitted fields can be written as
Ēr = E0Γ (x̂ cos θr + ẑ sin θr) e−jk1(x sin θr−z cos θr)
(12)
H̄r =
−E0Γ
η1
ŷe−jk1(x sin θr−z cos θr)
(13)
Ēt = E0T (x̂ cos θt − ẑ sin θt) e−jk2(x sin θt+z cos θt)
(14)
H̄t =
E0T
η2
ŷe−jk2(x sin θt+z cos θt)
(15)
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34. Circuit-EM Co-Design Lab
Parallel Polarization
❑ We can obtain two complex equations for these unknowns by enforcing
the continuity of Ex and Hy, the tangential field components, at the
interface between the two regions at z = 0. We then obtain
cos θie−jk1x sin θi
+ Γ cos θre−jk1x sin θr
= T cos θte−jk2x sin θt
, (16)
1
η1
e−jk1x sin θi
−
Γ
η1
e−jk1x sin θr
=
T
η2
e−jk2x sin θt
. (17)
❑ If Ex and Hy are to be continuous at the interface z = 0 for all x, then this
x variation must be the same on both sides of the equations, leading to
the following condition :
k1 sin θi = k1 sin θr = k2 sin θt
❑ This results in the well-known Snell’s laws of reflection and refraction:
θi = θr
k1 sin θi = k2 sin θt
❑ The above argument ensures that the phase terms vary with x at the
same rate on both sides of the interface, and so is often called the phase
matching condition.
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35. Circuit-EM Co-Design Lab
Parallel Polarization
❑ Using (16) in (17) allows us to solve for the reflection and transmission
coefficients as
Γ =
η2 cos θt − η1 cos θi
η2 cos θt + η1 cos θi
T =
2η2 cos θi
η2 cos θt + η1 cos θi
❑ Observe that for normal incidence θi = 0, we have θy = θ2 = 0, so then
Γ =
η2 − η1
η2 + η1
and T =
2η2
η2 + η1
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36. Circuit-EM Co-Design Lab
Parallel Polarization
❑ . For this polarization a special angle of incidence, θb, called the Brewster
angle, exists where Γ = 0.
❑ This occurs when the numerator of Γ goes to zero (θi = θb)
η2 cos θt = η1 cos θb, which can be rewritten using
cos θt =
q
1 − sin2
θt =
s
1 −
k2
1
k2
2
sin2
θb
to give
sin θb =
1
p
1 + ϵ1/ϵ2
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37. Circuit-EM Co-Design Lab
Perpendicular Polarization
❑ In this case the electric field vector is perpendicular to the xz plane.
❑ The incident field can be written as
Ēi = E0ŷe−jk1(x sin θi+z cos θi)
H̄i = E0
η1
(−x̂ cos θi + ẑ sin θj) e−jk1(x sin θi+z cos θi)
,
where k1 = ω
√
µ0ϵ1 and η1 =
p
µ0/ϵ1
❑ The reflected and transmitted fields can be
expressed as
Ēr = E0Γŷe−jk1(x sin θr−z cos θr)
H̄r = E0Γ
η1
(x̂ cos θr + ẑ sin θr) e−jk1(x sin θr−z cos θr)
Ēt = E0Tŷe−jk2(x sin θt+z cos θt)
H̄t = E0T
η2
(−x̂ cos θt + ẑ sin θt) e−jk2(x sin θt+z cos θt)
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38. Circuit-EM Co-Design Lab
Perpendicular Polarization
❑ Equating the tangential field components Ey and Hx at z = 0 gives
e−jk1x sin θi
+ Γe−jk1x sin θr
= Te−jk2x sin θt
−1
η1
cos θie−jk1x sin θi
+
Γ
η1
cos θre−jk2x sin θr
=
−T
η2
cos θte−jk2x sin θt
.
❑ By the same phase matching argument that was used in the parallel
case, we obtain Snell’s
k1 sin θi = k1 sin θr = k2 sin θt
❑ The reflection and transmission coefficients are
Γ =
η2 cos θi − η1 cos θt
η2 cos θi + η1 cos θt
T =
2η2 cos θi
η2 cos θi + η1 cos θt
.
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39. Circuit-EM Co-Design Lab
Perpendicular Polarization
❑ For this polarization no Brewster angle exists where Γ = 0,
❑ The numerator of Γ could be zero:
η2 cos θ2 = η1 cos θ2
❑ Snell’s law to give
k2
2 η2
2 − η2
1
= k2
2η2
2 − k2
1η2
1
sin2
θi
❑ This leads to a contradiction since the term in parentheses on the
right-hand side is identically zero for dielectric media.
❑ Thus, no Brewster angle exists for perpendicular polarization for dielectric
media.
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42. Circuit-EM Co-Design Lab
Total Reflection and Surface Waves
❑ Snell’s law can be rewritten as
sin θt =
r
ϵ1
ϵ2
sin θi
❑ Consider the case (for either parallel or perpendicular polarization) where
ϵ1 ϵ2.
❑ As θi, increases, the refraction angle θt will increase, but at a faster rate
than θi increases.
❑ The incidence angle θi for which θt = 90◦
is called the critical angle, θc,
where
sin θc =
r
ϵ2
ϵ1
.
❑ At this angle and beyond, the incident wave will be totally reflected, as the
transmitted wave will not propagate into region 2.
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