digital down-converter (DDC) converts a digitized real signal centered at an intermediate frequency (IF) to a basebanded complex signal centered at zero frequency. In addition to downconversion
introduce the basic modulation tech (PSK, FSK, QAM etc)
and comparison between them.
ref : Communication System (4ed, Haykin)
this ppt is for my seminar
Orthogonal Frequency Division Multiplexing, OFDM uses a large number of narrow sub-carriers for multi-carrier transmission to overcome the effect of multi path fading problem. LTE uses OFDM for the downlink, from base station to terminal to transmit the data over many narrow band careers of 180 KHz each instead of spreading one signal over the complete 5MHz career bandwidth. OFDM meets the LTE requirement for spectrum flexibility and enables cost-efficient solutions for very wide carriers with high peak rates.
The primary advantage of OFDM over single-carrier schemes is its ability to cope with severe channel conditions. Channel equalization is simplified. The low symbol rate makes the use of a guard interval between symbols affordable, making it possible to eliminate inter symbol interference (ISI).
introduce the basic modulation tech (PSK, FSK, QAM etc)
and comparison between them.
ref : Communication System (4ed, Haykin)
this ppt is for my seminar
Orthogonal Frequency Division Multiplexing, OFDM uses a large number of narrow sub-carriers for multi-carrier transmission to overcome the effect of multi path fading problem. LTE uses OFDM for the downlink, from base station to terminal to transmit the data over many narrow band careers of 180 KHz each instead of spreading one signal over the complete 5MHz career bandwidth. OFDM meets the LTE requirement for spectrum flexibility and enables cost-efficient solutions for very wide carriers with high peak rates.
The primary advantage of OFDM over single-carrier schemes is its ability to cope with severe channel conditions. Channel equalization is simplified. The low symbol rate makes the use of a guard interval between symbols affordable, making it possible to eliminate inter symbol interference (ISI).
Design and implementation of qpsk modulator using digital subcarrierGongadi Nagaraju
The digitally implemented QPSK modulator is developed for satellite communication for future satellite missions. As we know that for space application power and bandwidth are most important parameters.The size of PCB and component count are also important parameters. To reduce these all parameters we design new approach. The new approach also minimizes the component count and hence reduces the PCB size. In this modulator summation, orthogonal sub-carrier generation and mixing of subcarrier with data are all digitally implemented inside the FPGA
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 second webinar discusses LTE Air Interface, the link between a mobile device and the network, and a fundamental driver of the quality of the network.
Design and implementation of qpsk modulator using digital subcarrierGongadi Nagaraju
The digitally implemented QPSK modulator is developed for satellite communication for future satellite missions. As we know that for space application power and bandwidth are most important parameters.The size of PCB and component count are also important parameters. To reduce these all parameters we design new approach. The new approach also minimizes the component count and hence reduces the PCB size. In this modulator summation, orthogonal sub-carrier generation and mixing of subcarrier with data are all digitally implemented inside the FPGA
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 second webinar discusses LTE Air Interface, the link between a mobile device and the network, and a fundamental driver of the quality of the network.
Data conversion for data acquisition is a two-part process that involves sampling and then converting signals into digital venues. These processes inherently remove part of the complete analog signal in exchange for the power and robustness of digital signal handling. This becomes especially difficult when trying to capture signals at the limits of the resolution and speed of our systems. In this session, learn how to design a data conversion system that minimizes the signal loss to match the signal handling requirements … even on the hard ones.
This session combines the high speed analog signal chain from RF to baseband with FPGA-based digital signal processing for wireless communications. Topics include the high speed analog signal chain, direct conversion radio architecture, the high speed data converter interface, and FPGA-based digital signal processing for software-defined radio. The demo board uses the latest generation of Analog Devices’ high speed data converters, RF, and clocking devices, along with the Xilinx Zynq-7000 SoC. Other topics of discussion include the imperfections introduced by the modulator/demodulator with particular focus on the effect of temperature and frequency changes. In-factory and in-field algorithms that reduce the effect of these imperfections, with particular emphasis on the efficacy of in-factory set-and-forget algorithms, are examined.
In this video, I will explain what is QAM modulation and what is 16QAM.
QAM Stands for Quadrature Amplitude Modulation. QAM is both an analog and a digital modulation method. But here, we are only talking about QAM as a digital modulation.
Quadrature means that two carrier waves are being used, one sine wave and one cosine wave. These two waves are out of phase with each other by 90°, this is called quadrature.
At the receiving end, the sine and cosine wave can be decoded independently, this means that by using both a sine wave and a cosine wave, the communication channel's capacity is doubled comparing to using only one sine or one cosine wave. That is why quadrature is such a popular technique for digital modulation.
QAM modulation is a combination of Amplitude Shift Keying and Phase Shift Keying, both carrier wave is modulated by changing both its amplitude and phase. As shown in this 8QAM waveform, the top is the sine wave carrier, for bit 000, the sin wave has a phase shift of 0°, and an amplitude of 2. While for bit 110, the phase shift is 180°, and the amplitude now is 1. So both phase and amplitude are changed.
In 16QAM, the input binary data is combined into groups of 4 bits called QUADBITS.
As shown in this picture, the I and I' bits are sent to the sine wave modulation path, and the Q and Q' bits are sent to the cosine wave path. Since the bits are split and sent in parallel, so the symbol rate has been reduced to a quarter of the input binary bit rate. If the input binary data rate is 100 Gbps, then the symbol rate is reduced to only 25 Gbaud/second. This is the reason why 16QAM is under hot research for 100Gbps fiber optic communication.
The I and Q bits control the carrier wave's phase shift, if the bit is 0, then the phase shift is 180°, if the bit is 1, then the phase shift is 0°.
The I' and Q' bits control the carrier wave's amplitude, if bit is 0, then the amplitude is 0.22 volt, if the bit is 1, then the amplitude is 0.821 volt.
So each pair of bits has 4 different outputs. Then they are added up at the linear summer. 4X4 is 16, so there is a total of 16 different combinations at the output, that is why this is called 16QAM.
This illustration shows an example of how the QUADBIT 0000 is modulated onto the carrier waves.
Here I and I' is 00, so the output is -0.22 Volt at the 2-to-4-level converter, when timed with the sine wave carrier, we get -0.22sin(2πfct), here fc is the carrier wave's frequency. QQ' is also 00, so the other carrier wave output is -0.22cos(2πfct).
Here is the proof that quadbit 0000 is modulated as a sine wave with an amplitude of 0.311volt and a phase shift of -135°. You can now pause for a moment to study the proof.
This list shows the 16QAM modulation output with different amplitude and phase change for all 16 quadbits. On the right side is the constellation diagram which shows the positions of these quadbits on a I-Q diagram.
You can visit FO4SALE.com f
The most fundamental digital modulation techniques are based on keying: PSK (phase-shift keying): a finite number of phases are used. FSK (frequency-shift keying): a finite number of frequencies are used. ... QAM (quadrature amplitude modulation): a finite number of at least two phases and at least two amplitudes are used.
This slide describe the techniques of digital modulation and Bandwidth Efficiency:
The first null bandwidth of M-ary PSK signals decrease as M increases while Rb is held constant.
Therefore, as the value of M increases, the bandwidth efficiency also increases.
RF Front End modules and components for cellphones 2017 - Report by Yole Deve...Yole Developpement
A dynamic market with high responsivity to technical innovation, the RF front end industry is set to grow at 14% CAGR to reach $22.7B in 2022.
A market that will more than double in six years!
The radio-frequency (RF) front end and components market for cellphones is highly dynamic. From being worth $10.1B last year, it is expected to reach $22.7B in 2022. Such high growth is definitely something that players in other semiconductor markets would envy. However, the growth is not evenly distributed.
Filters represent the biggest business in the RF front end industry, and the value of this business will more than triple from 2016 to 2022. Most of this growth will derive from additional filtering needs from new antennas as well as the need for more filtering functionality due to multiple carrier aggregation (CA).
Power amplifiers (PAs) and low noise amplifiers (LNAs), the second biggest business, will be almost flat over the same period. High-end LTE PA market growth will be balanced by a shrinking 2G/3G market. The LNA market will grow steadily, especially thanks to the addition of new antennas.
Switches, the third biggest business, will double. This market will mainly be driven by antenna switches.
Lastly, antenna tuners, a small business today with an estimated $36M market value, will expand 7.5-fold to reach $272M in 2022. This growth is mainly due to tuning being added to both the main and the diversity antennas.
For more discussion, please visit our website: http://www.i-micronews.com/reports.html
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
Embedded systems increasingly employ digital, analog and RF signals all of which are tightly synchronized in time. Debugging these systems is challenging in that one needs to measure a number of different signals in one or more domains (time, digital, frequency) and with tight time synchronization. This session will discuss how a digital oscilloscope can be used to effectively debug these systems, and some of the instrumentation considerations that go along with this.
Frequency-Shift Keying, also known as FSK is a type of digital frequency modulation. It is also often called as binary frequency shift keying or BFSK
Similar to analog FM, it is a constant-amplitude angle modulation.
This presentation will discuss the concepts behind FSK
The 9420 series pulse generator was designed to meet the growing demand for an affordable yet flexible system synchronizer. This benchtop, lab ready, delay generator comes standard with a 10ns timing resolution and a low jitter of less than 400ps. The simple programming, high functionality, and easy memory recall makes this model ideal for multiple projects and a wide variety of applications.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
General/Digital up conversion
1. General Up Conversion
• 70 MHz IF, 2.5. 8, & 22 MHz BWs (3dB).
• 204.8 MHz DAC Sample Rate
• Modem provides 25 KHz fine tune step
• Receiver/Exciter minimum freq step = 0.5 MHz, settling time < 100 us to 100Hz.
1
Modem
FPGA
DAC14DUC
Fs = 204.8 MHz
I
Q 2nd IF
70 MHz
Exciter
Tuning
Step=0.5 MHz
Tsettling
= < 100 Hz < 100us
22 MHz 8 MHz
2.5 MHz
22 MHz
1st IF
2. Digital Up Converter
• Baseband samples are converted to 70 MHz “digital IF”
• Polyphase filter approach reduces required 204.8 Msps processing to simple data transfer.
2
18.8 MHz + 51.2 MHz = 70 MHz
14
x2 Interpolation
DAC
2
1
sinc
x2 Interpolation
NCO
sincos
2
1
sinc
+
-
+
+
Complex MixerDAC
Comp
Fine Tune
18.8 MHz ± 250 KHz
25 KHz step
Poly
Phase
FIR
Poly
Phase
FIR
Commutate
I & Q
204.8 MHz
I
Q
102.4 Msps 204.8 Msps
Baseband
Waveform
Processing
51.2 Msps
-1
-1
3. DUC Continued
• 204.8 Msps DAC sample rate required to reduce DAC sinx/x roll-off.
• Final 2x interpolation process employs parallel FIR (polyphase) filters that process at 1x rate.
• Number of filter taps is reduced by factor of two resulting from quarter wave frequency shift.
3
Equivalent
2
x2 Interpolation
2
14
sin( )
n
cos( )
n
Fs = 204.8 Msps
40 Taps
40 Taps
14
x2 Interpolation
Poly
Phase
FIR
Poly
Phase
FIR
-1
Commutate
I & Q
Fs = 102.4 Msps Fs = 204.8 Msps
-1
20 Taps
20 Taps
4. DUC Filters
4
14
x2 Interpolation
DAC
2
x2 Interpolation
NCO
sincos
2
+
-
+
+
Complex Mixer Commutate
I & Q
204.8 MHz
I
Q
DUC Filter 1
Programmable FIR
47 Taps each
DUC Filter 2
20 Taps each
-1
-1
5. DUC Filter 1• 47 tap programmable FIR, 16 bit symmetric coefficients
• BW is adjusted according to waveform mode, I.e., 20, 6, or 1 MHz modes.
• Three sets of coefficients must be stored. The proper set of coefficients are
downloaded upon change in waveform BW.
5
6. DUC Filter 2
Simplification
• Original filter is split into even and odd phases and processed in parallel at
102.4Msps (half rate).
• Each output is selected once per 1x sample period to provide x2 rate change.
6
2
2
Even coef
Odd coef
102.4 Msps 204.8 Msps
102.4 Msps 204.8 Msps
X2 Interploation X2 Interploation
Even coef
Odd coef
Conversion
I
Q
40 taps
40 taps
40 taps
40 taps
7. DUC Filter 2
Simplification
• One of two filter phases can be eliminated as a result of quarter wave frequency
shift.
• Number of taps is reduced by factor of two.
• Real frequency mixer and quarter wave shift is reduced to simple commutation
between I & q filter outputs.
• Provides complex to reak conversion and fs/4 frequency shift.
7
Even coef
Odd coef
Even coef
Odd coef
-sin( )
n
cos( )
n
I
Q
={1,0,-1,0}
={0,-1,0,1}
Even coef
-120 taps
20 taps
-1Odd coef
yi
(n)
-yi
(n)
-yq
(n)
yq(n)
DUC Out
Conversion
20 taps, each
Output Sequence =
{ yi(n), -yq(n), -yi(n), yq(n), …}
8. DUC Filter 2
• 20 tap FIR, 16 bit symmetric coefficients.
8
40 taps
h0
,h2
,h4
,...h38
Even
Coef
Odd
Coef
h
1 ,h
3 ,h
5 ,...h
39
I Channel
Q Channel
20 taps
20 taps
14. DDC / DUC Commonality
• The DDC filter (47 tap) and DUC filter #1 are the same. The
DDC and DUC can share the same FPGA filter structures.
• The DDC and DUC share a single DDS FPGA instantiation.
14
15. DDC / DUC Commonality
15
14
DAC
2
2
+
-
+
+
204.8 MHz
I
Q
-1
-1
12
ADC
102.4 MHz
-sin
cos
NCO
47 tap FIR
47 tap FIRI/Q
Freq Constant
Digital Down Converter
Freq Error
Tune Freq
2
2
Sync
Timing/Freq
Digital Up Converter
I
Q
47 tap FIR
47 tap FIR
20 tap FIR
20 tap FIR
Common
Filter.
I/Q filter
pair is
instantiated
once in
FPGA and
shared
between
DDC and
DUC.
Common
NCO/DDS
Shared
between DUC
and DDC.
16. Direct Digital Synthesizer (DDS)
• DDS is implemented using Xilinx ip with Taylor series phase
correction.
• SFDR -115 dB
• Df < 1 Hz
• Phase Accumulator = 32 bits
• cos & -sin outputs = 20 bits
16
17. Direct Digital Synthesizer (DDS)
• Output frequency is a combination of a constant frequency
term, tune frequency term, and error frequency term.
17
MHzf
KHzfKHz
KHzfKHz
where
f
f
fMHzf
ffMHzf
clk
error
tune
clk
out
tuneout
errortuneout
4.102
1111
sizestep25KHz,250250
:
2
8.18:CaseDUC
4.32:CaseDDC
32
D
18. Frequency Uncertainty/Error
• Specifications
• Reference Frequency = +/- 1 ppm
• Max Doppler Velocity = 700 m/s
18
Hz
HzMHz
sme
sm
f
c
v
HzMHzppm
833,10yUncertaintFrequencyTotal
58332500
/83
/700
ErrorDopplerMax
500022500*1ErrorReference
19. Frequency Correction
Rx Packet
• Frequency Error is determined during Synchronization
process and applied prior to demodulating Rx packet. (See
timing charts.)
Tx Packet
• Frequency error term = 0 for Tx slots.
19
20. DDC/DUC Processing
• Maintain 16 bits in/out of DDC and DUC.
• Complex mixer functions should maintain 18 bits at input and truncate
to 16 bits at output.
20
DDS
(NCO)
20 bits 18 bitscos
-sin 20 bits
Truncate
18 bits16 bits
Filter/
Decimate
16 bits
Baseband
Processing
DDC
I or Q
From ADC