This document discusses vibration errors in fiber optic gyroscopes (FOGs) that occur due to external vibrations. It analyzes vibration errors in both open-loop and closed-loop FOGs. For closed-loop FOGs, it derives a differential equation to describe the loop dynamics, showing that vibration causes time-varying coefficients in this equation. It identifies an additional vibration-induced rotation rate error for closed-loop FOGs beyond those traditionally described. It also analyzes alternative information processing methods that can help suppress vibration errors, such as dividing signals to eliminate intensity fluctuations.
4 matched filters and ambiguity functions for radar signalsSolo Hermelin
Matched filters (Part 1 of 2) maximizes the output signal-to-noise ratio for a known radar signal at a predefined time.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
Describes Pulse Compression in Radar Systems.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://solohermelin.com.
Since some figures were not downloaded, I recommend to see this presentation on my website under RADAR Folder, Signal Processing subfolder.
Describes Signal Processing in Radar Systems,
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://solohermelin.com.
I recommend to see the presentation on my website under RADAR Folder, Signal Processing Subfolder.
4 matched filters and ambiguity functions for radar signals-2Solo Hermelin
Matched filters (Part 2of 2) maximizes the output signal-to-noise ratio for a known radar signal at a predefined time.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
10 range and doppler measurements in radar systemsSolo Hermelin
Present method of Range and Doppler measurement in a RADAR system.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
Recommend to view this presentation on my website in power point.
4 matched filters and ambiguity functions for radar signalsSolo Hermelin
Matched filters (Part 1 of 2) maximizes the output signal-to-noise ratio for a known radar signal at a predefined time.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
Describes Pulse Compression in Radar Systems.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://solohermelin.com.
Since some figures were not downloaded, I recommend to see this presentation on my website under RADAR Folder, Signal Processing subfolder.
Describes Signal Processing in Radar Systems,
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://solohermelin.com.
I recommend to see the presentation on my website under RADAR Folder, Signal Processing Subfolder.
4 matched filters and ambiguity functions for radar signals-2Solo Hermelin
Matched filters (Part 2of 2) maximizes the output signal-to-noise ratio for a known radar signal at a predefined time.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
10 range and doppler measurements in radar systemsSolo Hermelin
Present method of Range and Doppler measurement in a RADAR system.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
Recommend to view this presentation on my website in power point.
Multiscale methods for next generation graphene based nanocomposites is proposed. This approach combines atomistic finite element method and classical continuum finite element method.
Stability of Target Resonance Modes: Ina Quadrature Polarization ContextIJERA Editor
The paper present a studyon the noise effect whenextracting the resonance residue in a quadrature polarization
setup. The accuracy and stability of the mode quadrature residues is necessary to construct the polarization matrix,
and subsequently, derive a robust polarization states of the receiver antenna. However, with lower signal-to-noise
ratios the extraction performance will degrade; in this regards, the in-phase and quadrature components of the
baseband signal demonstrated improvedextraction performancewhen used. Here, a case of two disjoint wires is
used to verify this approach.
Slides of my talk at IISc Bangalore on nanomechanics and finite element analysis for statics and dynamics of nanoscale structures such as carbon nanotube, graphene, ZnO nanotube and BN nano sheet.
A Simple Design to Mitigate Problems of Conventional Digital Phase Locked LoopCSCJournals
This paper presents a method which can estimate frequency, phase and power of received signal corrupted with additive white Gaussian noise (AWGN) in large frequency offset environment. Proposed method consists of two loops, each loop is similar to a phase–locked loop (PLL) structure. The proposed structure solves the problems of conventional PLL such as limited estimation range, long settling time, overshoot, high frequency ripples and instability. Traditional inability of PLL to synchronize signals with large frequency offset is also removed in this method. Furthermore, proposed architecture along with providing stability, ensures fast tracking of any changes in input frequency. Proposed method is also implemented using field programmable gate array (FPGA), it consumes 201 mW and works at 197 MHz.
Slightly fishy - Combining NSOM with SEA TADPOLEJohanna Trägårdh
This presentation describes a method to characterize the spectral amplitude and phase of a light pulse propagating in a photonic structure. The method is substantially faster than existing methods. The research was performed at the University of Bristol.
Exact Sum Rules for Vector Channel at Finite Temperature and its Applications...Daisuke Satow
Slides used in presentation at:
“International School of Nuclear Physics 38th Course Nuclear matter under extreme conditions -Relativistic heavy-ion collisions”, in September, 2016 @ Erice, Italy
Describes Fiber Optics using Optical Ray Theory.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations visit my website at http://www.solohermelin.com.
EE402B Radio Systems and Personal Communication Networks-Formula sheetHaris Hassan
Programmes in which available:
Masters of Engineering - Electrical and Electronic
Engineering. Masters of Engineering - Electronic
Engineering and Computer Science. Master of Science -
Communication Systems and Wireless Networking.
Master of Science - Smart Telecom and Sensing
Networks. Master of Science - Photonic Integrated
Circuits, Sensors and Networks
To enable an extension of knowledge in fundamental data communications to radio communications and networks widely adopted
in modern telecommunications systems. To provide understanding of radio wave utilisation, channel loss properties, mobile
communication technologies and network protocol architecture applied to practical wireless systems
Multiscale methods for next generation graphene based nanocomposites is proposed. This approach combines atomistic finite element method and classical continuum finite element method.
Stability of Target Resonance Modes: Ina Quadrature Polarization ContextIJERA Editor
The paper present a studyon the noise effect whenextracting the resonance residue in a quadrature polarization
setup. The accuracy and stability of the mode quadrature residues is necessary to construct the polarization matrix,
and subsequently, derive a robust polarization states of the receiver antenna. However, with lower signal-to-noise
ratios the extraction performance will degrade; in this regards, the in-phase and quadrature components of the
baseband signal demonstrated improvedextraction performancewhen used. Here, a case of two disjoint wires is
used to verify this approach.
Slides of my talk at IISc Bangalore on nanomechanics and finite element analysis for statics and dynamics of nanoscale structures such as carbon nanotube, graphene, ZnO nanotube and BN nano sheet.
A Simple Design to Mitigate Problems of Conventional Digital Phase Locked LoopCSCJournals
This paper presents a method which can estimate frequency, phase and power of received signal corrupted with additive white Gaussian noise (AWGN) in large frequency offset environment. Proposed method consists of two loops, each loop is similar to a phase–locked loop (PLL) structure. The proposed structure solves the problems of conventional PLL such as limited estimation range, long settling time, overshoot, high frequency ripples and instability. Traditional inability of PLL to synchronize signals with large frequency offset is also removed in this method. Furthermore, proposed architecture along with providing stability, ensures fast tracking of any changes in input frequency. Proposed method is also implemented using field programmable gate array (FPGA), it consumes 201 mW and works at 197 MHz.
Slightly fishy - Combining NSOM with SEA TADPOLEJohanna Trägårdh
This presentation describes a method to characterize the spectral amplitude and phase of a light pulse propagating in a photonic structure. The method is substantially faster than existing methods. The research was performed at the University of Bristol.
Exact Sum Rules for Vector Channel at Finite Temperature and its Applications...Daisuke Satow
Slides used in presentation at:
“International School of Nuclear Physics 38th Course Nuclear matter under extreme conditions -Relativistic heavy-ion collisions”, in September, 2016 @ Erice, Italy
Describes Fiber Optics using Optical Ray Theory.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations visit my website at http://www.solohermelin.com.
EE402B Radio Systems and Personal Communication Networks-Formula sheetHaris Hassan
Programmes in which available:
Masters of Engineering - Electrical and Electronic
Engineering. Masters of Engineering - Electronic
Engineering and Computer Science. Master of Science -
Communication Systems and Wireless Networking.
Master of Science - Smart Telecom and Sensing
Networks. Master of Science - Photonic Integrated
Circuits, Sensors and Networks
To enable an extension of knowledge in fundamental data communications to radio communications and networks widely adopted
in modern telecommunications systems. To provide understanding of radio wave utilisation, channel loss properties, mobile
communication technologies and network protocol architecture applied to practical wireless systems
Design and Implementation of Low Ripple Low Power Digital Phase-Locked LoopCSCJournals
We propose a phase-locked loop (PLL) architecture, which reduces the double frequency ripple without increasing the order of loop filter. Proposed architecture uses quadrature numerically–controlled oscillator (NCO) to provide two output signals with phase difference of π/2. One of them is subtracted from the input signal before multiplying with the other output of NCO. The system also provides stability in case the input signal has noise in amplitude or phase. The proposed structure is implemented using field programmable gate array (FPGA), which dissipates 15.44mw and works at clock frequency of 155.8 MHz.
Cryptography Scheme of an Optical Switching System Using Pico/Femto Second So...University of Malaya (UM)
We propose a system of microring resonators (MRRs) incorporating with an add/drop filter system. Optical soliton can be simulated and used to generate entangled photon, applicable in single and multiple optical switching. Chaotic signals can be generated via the MRRs system. Therefore continuous spatial and temporal signals are generated spreading over the spectrum. Polarized photons are formed incorporating the
polarization control unit into the MRRs, which allows different time slot entangled photons to be randomly formed. Results show the single soliton pulse of 0.7 ps where the multi soliton pulse with FSR and FWHM of 0.6 ns and 20 ps are generated using the add/drop filter system. Here Ultra-short single soliton pulse with FWHM=42 fs can be simulated. These pulses are providing required communication signals to generate pair of polarization entangled photons among different time frame where the polarization control unit and polarizer beam splitter (PBS) are connected to the ring resonator system.
Decimal Convertor Application for Optical Wireless Communication by Generatin...University of Malaya (UM)
Two systems consist of microring resonators (MRRs) and an add/drop filter are used to generate signals as localized multi wavelengths. Quantum dense encoding
can be performed by output signals of selected wavelengths incorporated to a polarization control system. Therefore dark and bright optical soliton pulses
with different time slot are generated. They can be converted into digital logic quantum codes using a decimal convertor system propagating along a wireless networks. Results show that multi soliton wavelength, ranged from 1.55 m to 1.56 m with FWHM and FSR of 10 pm and 600 pm can be generated respectively. Keywords- Micro Ring Resonator, Quantum Dense Coding (QDC), Wireless network communication system.
A JOINT TIMING OFFSET AND CHANNEL ESTIMATION USING FRACTIONAL FOURIER TRANSFO...IJCNCJournal
This paper deals with symbol timing offset and channel estimation in OFDM (orthogonal frequency
division multiplexing) system in fast varying channel. Symbol timing offset (STO) estimation is a major task
in OFDM. Most of existing methods for estimating STO used cyclic prefix or training sequences. In this
paper, we consider a new system for STO estimation using constant amplitude zero autocorrelation
(CAZAC) sequences as pilot sequences in conjunction with fractional Fourier transform (FRFT). After STO
estimation is done, timing compensation is made. Thereafter, channel is estimated to well recover the
original transmitted signal. This method gives good results in terms of MSE in comparison with other
known techniques, it estimated well the channel and it is important for fast varying channel. MATLAB
Monte-Carlo simulations are used to evaluate the performance of the proposed estimator.
Long Distance Communication Using Localized Optical Soliton via Entangled Ph...University of Malaya (UM)
A system of microring resonators (MRRs) is presented to generation entangled photon. Different time slot for continuous variable quantum key distribution (CVQKD) use is applicable in optical wireless link. Chaotic behavior of a soliton pulse within the device can be presented respect to the Kerr nonlinear type of light in the MRR devices. Continuous spatial and temporal signals are generated spreading over the spectrum. The CVQKD is formed using the localized spatial soliton pulse. Here localized temporal soliton with FWHM and FSR of 0.2 ps and 0.58 ns is obtained respectively. The spatial soliton pulse has a FWHM of 80 pm. Transmission of soliton pulse with FWHM of 1.5 ps is simulated along the long distance fiber optics where the polarized photons are formed incorporating with the polarization control unit into the MRRs, which allows different time slot entangled photons to be randomly formed.
IOSR Journal of Applied Physics (IOSR-JAP) is an open access international journal that provides rapid publication (within a month) of articles in all areas of physics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in applied physics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Software PLL for PLI synchronization, design, modeling and simulation , sozopoldpdobrev
Power-line interference is a common disturbing
factor in almost all two-electrode biosignal acquisition
applications. Many filtering procedures for mains
interference elimination are available, but all of them are
maximally effective when the filter notches are positioned
exactly at the power-line harmonics, i. e. when the sampling rate is synchronous with the power-line frequency. Moreover, various lock-in techniques, su ch as automatic common mode input impedance balance, require precise in-phase and quadrature phase references, synchronous with the power-line interference. This paper describes in depth a design procedure of software PLL, generating synchronous reference to the common mode power-line interference, and achieved from its analog prototype using s to z backward difference transformation. The main advantage of th e presented
approach is that the synchronization is done in software, so it has no production cost. The presented PLL is intended for use in ECG signal processing, but it can be used after easy adaptation in various digital si gnal processing applications, where frequency synchronization is needed.
ANALYTICAL PERFORMANCE EVALUATION OF A MIMO FSO COMMUNICATION SYSTEM WITH DIR...optljjournal
MIMO FSO correspondence is examined as of late to build up a hearty correspondence connects within the sight of atmospheric turbulence. In this paper an analytical approach is developed to assess the impact of atmospheric turbulence on BER performance of a MIMO FSO communication system with Q-ary Pulse Position Modulation (QPPM). Examination is exhibited to discover flag to clamor proportion at the yield of an immediate location collector with optical power modulator under strong turbulent condition which is modeled as gamma-gamma distribution. The outcomes demonstrate that the BER performance is emphatically debased because of the impact of atmospheric turbulence. In any case, the execution can be enhanced by expanding the quantity of transmitters, beneficiaries and request of Q in PPM. Results demonstrate that the FSO MIMO framework with M=8, N=4 Q=4 gives the 22 dB improvement at BER of 10-9 .
Load Frequency Control, Integral control, Fuzzy Logic.IJERA Editor
An analysis of digital Phase-modulated signals is performed based on frequency spectrum which consists of a continuous and a number of discrete components at multiples of clock frequencies. The analysis shows that these components depend on the pulse shape function of multi-level digital signals to be phase modulated. In this paper, the effect of duty cycle, rise and fall times of these multi-level digital signals, on the frequency spectrum is studied. It is observed that the duty cycle variation of 10% results 30 dB increase in undesired component and the 10% increase in rise & fall times increase the power of undesired component by 12 dB. The theoretical observations of the effects are applied on the Binary Offset Carrier (BOC) modulated signals as a case study, to discuss their effects in Global Navigation Satellite Systems (GNSS).
A Systematic Approach to Improve BOC Power Spectrum for GNSSIJERA Editor
An analysis of digital Phase-modulated signals is performed based on frequency spectrum which consists of a continuous and a number of discrete components at multiples of clock frequencies. The analysis shows that these components depend on the pulse shape function of multi-level digital signals to be phase modulated. In this paper, the effect of duty cycle, rise and fall times of these multi-level digital signals, on the frequency spectrum is studied. It is observed that the duty cycle variation of 10% results 30 dB increase in undesired component and the 10% increase in rise & fall times increase the power of undesired component by 12 dB. The theoretical observations of the effects are applied on the Binary Offset Carrier (BOC) modulated signals as a case study, to discuss their effects in Global Navigation Satellite Systems (GNSS).
ANALYTICAL PERFORMANCE EVALUATION OF A MIMO FSO COMMUNICATION SYSTEM WITH DIR...optljjournal
MIMO FSO correspondence is examined as of late to build up a hearty correspondence connects within the
sight of atmospheric turbulence. In this paper an analytical approach is developed to assess the impact of
atmospheric turbulence on BER performance of a MIMO FSO communication system with Q-ary Pulse
Position Modulation (QPPM). Examination is exhibited to discover flag to clamor proportion at the yield
of an immediate location collector with optical power modulator under strong turbulent condition which is
modeled as gamma-gamma distribution. The outcomes demonstrate that the BER performance is
emphatically debased because of the impact of atmospheric turbulence
Similar to The vibration error of the fiber optic gyroscope rotation rate and methods of its suppression (20)
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
2. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS Vol. 58 No. 8 2013
THE VIBRATION ERROR OF THE FIBER OPTIC GYROSCOPE ROTATION RATE 841
tions of phase ΦS and circuit parameters, these signals
can be written in a simplified form:
(3a)
(3б)
Signal (3à) (the extracted rotation signal) contains
information on ΦS, and signal (3b) (the extracted con
stant component) does not contain this information.
The latter statement is valid if only ΦS Ӷ 1. Therefore,
the simplest way of processing (i.e., of extracting infor
mation on ΦS) uses only signal (3a) (or more generally,
signal (2a)). Let us call this method a conventional
processing technique. However, signal (3a) contains
time variations of the Q(t) value that introduce the RR
measurement error through the scale factor destabili
zation. For elimination of these variations, one can
use the signal [4]
(3c)
Below, it is shown that this signal, in addition to the
scale factor stabilization, provides for the FOG vibra
tion sensitivity elimination. We call this processing
method a dividing technique.
A. The Rotation Rate Vibration Error Source
Vibrations with frequency ω create, in addition to
the Sagnac phase, phase difference ΔΦcosωt (which,
below, we call vibrational). For this reason, the
replacement
should be made in the rotation signal. The sources of
the vibrational phase difference are as follows: (i) elas
tic waves in the coil [1, 5, 6] (through the photoelastic
effect changing the fiber refractive index at the vibra
tion frequency), (ii) periodic variations of the fiber
length [5], and (iii) the motion of fiber turns relative to
each other [5]. On the average, this phase difference is
zero, and it is not treated as the RR error, because it
( ) ( )2 ( ) sin ,S t Q t t− = Φ θS
( ) ( )2 ( ) 1 cos .S t Q t+ = + θ
( ) ( ) ( ) ( ) Stan 2 ( ).S t S t S t t− += = θ Φ
( ) ( ) ( ) ( )cos .t t t t tΦ → Φ = Φ + ΔΦ ωS S
does not lead to an RR long term drift. Since this
phase difference varies in time with a rather high fre
quency, it should be treated as a noise component [1].
However, it is known [1] that, along with the vibra
tional phase difference, the optical intensity modula
tion also exists:
Here, Р0 is the constant component of the optical
intensity in the absence of vibrations, Δр is the inten
sity oscillations at vibration frequency ω, and param
eter ε takes into account the fact that the vibrational
phase difference and intensity oscillations, generally
speaking, are not in phase. This means that Q(t) =
Q0 + ΔQcos(ωt + ε). These power variations are due to
the following time periodic reasons: (i) time varia
tions of the mutual orientation of the anisotropy axes
of the fiber and IOC polarizing waveguides [1] (this
mechanism is considered as dominating at low vibra
tion frequencies [6]), (ii) losses at fiber component
microbends and at the points of junctions of fibers
with the optical source and the IOC [5], (iii) mechan
ical stresses in the IOC [5], and (iv) polarization cou
pling of modes leading to additional power branching
from the operating polarization mode of fiber compo
nents [5, 6].
B. The Vibration Error of the Rotation Rate
in the Conventional Processing Circuit
Consider signal (2a). Its first term is a constant
component extracted at the demodulation frequency
(1/2τ). For any function f(t) that slightly varies within
time intervals on order τ, the approximate relation
ships f(t + τ) – f(t) ≈ τf '(t) and f(t + τ) + f(t) ≈ 2f(t)+
τf '(t) are valid, so that, for ΦS Ӷ 1, we have
(4)
( ) ( )0 cos .P t P p t= + Δ ω + ε
( ) ( )S S0
'2 ( ) sin
( ) sin cos .
S t Q t t
F t Q
−
⎡ ⎤= Φ + τΦ θ
⎢ ⎥⎣ ⎦
+ + ΔΦΔ θ ε
1
2
3
4
5
6 7
8
Fig. 1. Open loop FOG circuitcircuit: 1 is the light source, 2 is the fiber coupler, 3 is the integrated optic circuit, 4 is the sensing
coil, 5 is the photodetector, 6 is the preamplifier of the photodetector photo current, 7 is the synchronous detector, 8 is the gen
erator of the phase modulation voltage.
4
3. 842
JOURNAL OF CJOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS Vol. 58 No. 8 2013
A. M. KURBATOV, R. A. KURBATOV
Here, F(t) is a periodic function with the zero mean.
In (4), of interest is the time constant last term, yield
ing the RR error
(5)
where M = 4πRL/(λc) is the optical scale factor (R is
the coil radius, L is the coil fiber length, λ is the light
wavelength, and с is the light velocity in free space).
Thus, in the open loop FOG with the conventional
processing circuit, the RR vibration error is due to the
superimposed intensity oscillations and vibrational
phase difference. Below, an analog of (5) will be
derived for a closed loop FOG.
C. Dividing Technique
In this technique, signal (3c) is used for obtaining
information on the RR:
(6)
Expression (6) does not explicitly contain the light
intensity. Thus, it is possible to eliminate the influence
of its time variations, including its oscillations at the
vibration frequency. As a result, only the time periodic
RR error with the zero mean is left.
At present, for an open loop FOG, a sinusoidal
PM is used [7]. In this case, for scale factor stabiliza
tion in the processing circuit, the FOG output first
harmonic amplitude is divided by the amplitude of the
second harmonic and, for PM depth stabilization, the
second harmonic amplitude is divided by the ampli
tude of fourth harmonic. As a result, with the scale fac
tor stabilization, a dividing techniquet eliminating
optical intensity fluctuations and, in particular, the
RR constant vibration error is obtained. Here, in con
trast to the open loop FOG with the square wave
modulation, it is reasonable to consider the problem of
measured RR dynamic range. This problem is success
fully solved with the help of additional measures [7].
( )( )02 cos ,M p PΔΩ = ΔΦ Δ ε
( ) ( ) ( ) ( ) ( )Stan tan2 2 cos .S t t t t≈ θ Φ + θ ΔΦ ω
1
2. A CLOSED LOOP FOG CIRCUIT
In the case of a FOG with a closed feedback loop
(FB), another way to extend the dynamic range by
compensating the Sagnac phase with the step sawtooth
voltage can be used. This voltage is applied to the
phase modulator electrodes along with the PM voltage
[2, 3]. Figure 2 shows the block diagram of such FOG,
which, in addition to the block diagram from Fig. 1,
contains a filter (integrator) and a step voltage genera
tor (SVG). In this situation, the PDA output voltage is
(7)
Here, Δϕ(t) = ΦS(t) + ΔΦ(t)cosωt – Φc(t), Φc(t) is the
phase that compensates for the Sagnac phase and the
vibrational phase difference and is introduced by
the step sawtooth voltage [2, 3]. Value Δϕ(t) is called
the phase compensation error and the term with the
± sign on the right hand side of (7) is called the error
signal (an analog of open loop FOG rotation signal).
In the case of a closed loop FOG, the time constant
vibration RR error is due to the superimposition of
vibrational intensity changes and the vibrational com
ponent of Δϕ(t) value. It is clear that, in the FB loop
with an infinite processing speed (bandwidth), we
should have Δϕ(t) = 0, so that there is no time constant
vibration RR error. In a real FB loop with a finite band
width, phase Φc(t) can be represented in the form [5]
where the first term compensates for the Sagnac phase
and the second one compensates for the vibrational
phase difference ΔФcosωt with the amplitude error
(ΔΦ – ΔΦc) and phase delay δ, which are due to the
FB loop finite speed. Hence, for the time constant
component of the RR vibration error, we have an ana
log of expression (5):
(8)
For an infinite loop bandwidth, we have Φc → ΔΦ
and δ → 0 (the exact compensation for the vibrational
phase difference), so that ΔΩ → 0. However, as it will
( )( ) ( )(1 cos ) ( )sin .U t Q t Q t t≈ + θ ± θΔϕ
( ) ( ) ( )c c S c, cos ,t t tΦ = Φ + ΔΦ ω + δ
( )( ) ( )[ ]c01 2 cos cos .M p PΔΩ = Δ ΔΦ ε − ΔΦ ε − δ
1
2
3
5
6 7 8 9 10
4
Fig. 2. Closed loop FOG circuitcircuit: 1 is the light source, 2 is the fiber coupler, 3 is the IOC, 4 is the sensing coil, 5 is the PD,
6 is the PDA, 7 is the synchronous detector, 8 is the filter (integrator), 9 is the sawtooth step voltage generator, 10 is the generator
of the phase modulation voltage.
4
4. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS Vol. 58 No. 8 2013
THE VIBRATION ERROR OF THE FIBER OPTIC GYROSCOPE ROTATION RATE 843
be shown below, in a real FB loop with a substantially
extended bandwidth, the value determined from (8),
can be noticeably smaller than the value determined
from (5).
In the most general case, the fundamental limit of
the FOG bandwidth is f0 = 1/(2τ). Thus, for coils with
fiber lengths L ≤ 2000 m, we have f0 ≥ 50 kHz. This is a
large value, because the vibration frequency is within
the range 0–2.5 kHz [5, 6, 8]. However, there are other
limitations dictated by the characteristics of the FB
loop and its components. Finally, the bandwidth is
regulated by an integrator [6] and, in practice, it is
noticeably smaller than f0. For example, in [8], it
is reported that the bandwidth can be extended to
20 kHz as a result of special measures, which is one of
the basic means for vibration RR error suppression.
Let the value 20 kHz be the maximal FB loop band
width, which provides for the FB loop stability against
the background of the values on the order f0 = 1/(2τ).
The qualitative description considered above leads
to (8) and does not explicitly take into account the
dynamics of a closed FB loop but just uses the concept
of its bandwidth. In addition, (8) does not contain the
dependence of the RR error on the vibration fre
quency and FB loop parameters. Below, the FB loop
dynamics is explicitly described using the method
developed in [3] for the simplest case of time constant
loop parameters.
As has been mentioned above, for FB loop closing
in a FOG an integrator (accumulator) is applied. It
drives the SVG, the step voltage is then applied to the
phase modulator (below, referred to as modulator)
electrodes. As a result, the compensating phase is
described by the equation
(9)
where h(t) is the integrator response and K is the coef
ficient of voltage conversion into the phase difference
on the modulator electrodes. For an ideal integrator,
h(t) = const, and, by differentiating the (9) with allow
ance for (7), we can obtain a first order ODE describ
ing the FOG FB loop dynamics:
(10)
where
(11)
The last term from (10) can be neglected due to its
small value. We will also exclude from the consider
ation the noise component of power P(t).
Let us reveal the nature of parameter G0. Assume
that vibrations are absent and that the RR jumps at the
instant t = 0 from zero to a certain time constant
value. In this case, ODE (10) becomes the ODE for
( ) ( ) ( )c
0
,
t
t K duh t u S u−Φ = −∫
( ) ( )[ ]
[ ]
c S
cot0 0
0 0
( ) ( ) cos
( ) ( )( )
,
2 2 2
d G t t G t t t
dt
P t tP t
G G
P P
−−
ττ
⎡ ⎤+ Φ = Φ + ΔΦ ω
⎢ ⎥⎣ ⎦
Δ ΔϕΔ θ+ +
0 02 sin ,G KhQ= θ [ ]0 0( ) ( ) .G t G P t P=
the FB loop derived in [3] for the simplest case of
time constant loop parameters:
Hence, for the error of Sagnac phase ΦS compen
sation, we have the expression
Qualitatively, this solution fits that from [9] derived
for a similar case by means of numerical solution
(z transformation). Thus, the exact phase ΦS com
pensation is possible only for times t 1/G0. Here, the
time value 1/G0 describes the FB loop processing
speed, and, therefore, G0 is the FB loop bandwidth
(recall that G0 < 1/(2τ)). The latter, as it is seen from
(11), depends on the light intensity. This, for example,
means that, under vibrations, the bandwidth is modu
lated and value G0 transforms into G(t) (the second
expression from (11)). The consequences of this fact
will be considered below.
Consider again ODE (10). Under vibrations,
according to (11), for the FB loop bandwidth, we have
G(t) = G0 + ΔGcos(ωt + ε) (where ΔG = G0Δp/P0). It is
reasonable to split ODE (10) into three parts by virtue
of its linearity:
(12)
(13)
(14)
The first one describes the Sagnac phase compen
sation, the second one describes the vibrational phase
difference compensation, and the third one describes
the compensation for vibrational variations of the
intensity constant component. Consider these three
equations individually.
A. The Sagnac Phase Compensation
Using the solution to (12), we obtain the following
expression for the Sagnac phase compensation error
It is seen that time varying phase ΦS(t) can be com
pensated with an error that is zero only for G0 → ∞.
However, for a bandwidththat is finite but wider than
maximal RR frequency variations (~200 Hz [5]), the
sum of quickly decreasing terms (i.e., compensation
error) is small.
B. Compensation for the Vibrational Phase Difference
Let us rewrite ODE (13) in the following form:
( ) c S0 0( ) .d dt G t G+ Φ = Φ
( ) ( ) ( )S c S 0exp .t t G tΔϕ = Φ − Φ = Φ −
ӷ
[ ] ( )c,S S( ) ( ) ( ),d dt G t t G t t+ Φ = Φ
[ ] ( )c( ) ( ) cos ,d dt G t t G t t+ ΔΦ = ΔΦ ω
( )[ ] ( )
( ) ( )
c
cot
,
0.5 2 sin .
Qd dt G t t
G t
Δ+ Φ
≈ − τωΔ θ ω + ε
( ) ( )c,S c,S S S
1
( ) ( ) 1 ( ).
( )
n
n
n
dt t t t
G t dt
∞
=
⎡ ⎤
ΔΦ = Φ − Φ = − Φ⎢ ⎥⎣ ⎦
∑
2
( )[ ] ( )
( )
c, 0 cos
0.5 cos 2 0.5 cos .
d dt G t t G t
G t G
ΔΦ+ Φ = ΔΦ ω
+ Δ ΔΦ ω + Δ ΔΦ ε
5. 844
JOURNAL OF CJOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS Vol. 58 No. 8 2013
A. M. KURBATOV, R. A. KURBATOV
The first term on the right hand side is due to the
presence of the vibrational phase difference and the
rest two terms are due to its superimposition on inten
sity oscillations, which lead to generation of the sec
ond harmonic at the vibration frequency (the second
term on the right hand side) and the time constant
term (the third term). We will search for the time con
stant component of Φc,ΔФ(t). For small intensity oscil
lations P(t), using the perturbation method, we can
obtain an approximate analytical solution to ODE
(13) by representing it in the following form:
where Φc,ΔФ(t) is independent of the light intensity
oscillations. As a result, ODE (13) can be rewritten in
the form of two simpler ODEs:
Solving the first ODE and substituting the solution
into the right hand side of the second one, we obtain
expression (8) for the time constant RR error whose
parameters, in this case, have the form
Thus, for G0 → ∞ we obtain ΔΦc → ΔΦ, δ → 0
(i.e., we have exact compensation of the vibrational
phase difference). Figures 3a and 3b show frequency
dependences of absolute values of the RR vibration
error for ε = π/2 and ε = 0, respectively. Here, for cal
culations, the following parameters were used: Δp =
( )c c c, , ,0 0 , ,1( ) ( ) ( ),t t p P tΔΦ ΔΦ ΔΦΔΦ ≈ ΔΦ + Δ ΔΦ
( ) c0 , ,0 0( ) cos ,d dt G t G tΔΦ+ Φ ≈ ΔΦ ω
( ) ( )
( )
c c0 , ,1 0 , ,0
0 0
( ) ( )cos
0.5 cos 2 0.5 cos .
d dt G t G t t
G t G
ΔΦ ΔΦ+ Φ ≈ − Φ ω + ε
+ ΔΦ ω + ΔΦ ε
c
2 2
0 0 ,G GΔΦ = ΔΦ ω + tan 0 .Gδ = −ω
0.1P0, ΔΦ/M = 10 deg/h, and the bandwidth values
G0 = 0.5, 2.0, 10.0, and 20.0 s–1. It is seen that broad
ening of the bandwidth of the FB loop up to the values
several times larger than the maximum vibration fre
quency rather efficiently reduces the RR error for both
cases (i.e., for all remaining ε).
C. Vibration Error Due to Intensity Oscillations
Equation (14) describes the vibration RR error due
to intensity oscillations. It is independent of both the
vibrational phase difference and ε and is not described
in the literature. Let us use again the perturbation
method and rewrite ODE (14) in the form of two sim
pler ODEs:
Here, parameter ΔQ is the amplitude of oscillations of
function Q(t) at the vibration frequency (parameter
Q(t) is determined in the course of explanation to for
mula (1)). Using these relationships, we obtain the fol
lowing expression for the time constant RR error:
(15)
This expression is independent of coil fiber length
L, because M ~ L and τ ~ L. In Fig. 4, frequency
dependences of error (15) are presented in the range
0–2000 s–1
for the bandwidth values G0 = 500, 2000,
10000, and 20000 s–1
. The remaining parameters are
( ) ( )
( ) ( )
c
cot
0 , ,0
0.5 2 sin ,
Qd dt G t
G t
Δ+ Φ
= − τωΔ θ ω + ε
( ) ( )c c0 , ,1 0 , ,0( ) ( )cos .Q Qd dt G t G t tΔ Δ+ Φ = − Φ ω + ε
( ) cot
2 2
0
2 2
0 0
1 .
2 2
Q
Gp
M P G
Δ
⎛ ⎞ τωΔ θΔΩ ω = ⎜ ⎟
ω +⎝ ⎠
0.05
20000 1000
0.10
0.15
0.20
0.25
0.30
0.1
20000 1000
0.2
0.3
0.4
0.5
0.6
ΔΩ, deg/hΔΩ, deg/h
ω, s–1
ω, s–1
1
2
3
4
5
1
2 3 4
(a) (b)
5
Fig. 3. Frequency dependences of the RR vibration error for (a) ε = π/2 and (b) ε = 0. Curves 1–4 correspond to G0: 500, 2000,
10000, and 20000 s–1
. Curve 5 is the error level in the open loop FOG.
6. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS Vol. 58 No. 8 2013
THE VIBRATION ERROR OF THE FIBER OPTIC GYROSCOPE ROTATION RATE 845
the following: Δp/P0 = 0.1, λ = 1.55 μm, L = 500 m,
and diameter of the FOG coil is 100 mm. It is seen
that, here, broadening of the bandwidth of the FB loop
expanding has weaker effect on the value of the vibra
tion RR error than in the case of expression (8) and,
for G0 = 2000 s–1
, within the half of the considered fre
quency range, the RR error is larger than for G0 =
500 s–1
. However, for G0 = 10000 and 20000 s–1
, the
RR error is smaller than for narrower bands. We should
noted here that, under existing limitations on the
capabilities of broadening of the bandwidth of the FB
loop (up to ~20000 s–1) this measure is scarcely critical,
while it may support the reduction of this kind of the RR
error. In this case, according to (15), stabilization of con
stant component is a more efficient measure, because the
RR error considered here is proportional to (Δp)2. This
stabilization can be ensured either by means of compen
sation for intensity oscillations Δp with the help of pro
cessing electronics or by improving the FOG design
(more rigid fiber splices to the source, IOC, etc.).
D. Dividing Circuit
Above, by the example of an open loop FOG, the
natureoftheso calleddividingcircuitwasdemonstrated.
Here, the dividing circuit for a closed loop FOG, which
also uses signal (3c) is describedcircuit [4]. Carrying out
the same calculations as those used for derivation of
ODE (10), we multiply signal (4c) by 2Q0sinθ in order to
obtain correct dimension. Then, for a perfect integrator,
we again obtain an ODE for the FB loop:
(16)
where G1 = G0tan(θ/2) is the new bandwidth of the FB
loop. Here, first, there is no superimposition of inten
sity oscillations and the vibrational phase difference,
and, second, there is no modulation of the loop band
width. A consequence of this feature is the absence of
terms with nonzero mean in parameter Φc value, i.e.,
in fact, the absence of the RR vibration error. We again
can introduce three ODEs:
(17)
(18)
(19)
Obviously, ODEs (17) and (18) do not yield a time
constant vibration error. This is also true for Eq. (19),
because it can be rewritten in the form
3
( ) ( )[ ]
( )
[ ]
1 c
S
cot1
1
( )
( ) 2
2 ( )
( ) cos ,
Q t Q td G t G
dt Q t
G t t
+ τ −
+ Φ = θ
+ Φ + ΔΦ ω
( ) ( ) ( )c,S S1 1 ,d dt G t G t+ Φ = Φ
( ) c,1 1( ) cos ,d dt G t G tΔΦ+ Φ = ΔΦ ω
( ) ( ) ( )[ ]
( )
cot1 1( ) .
2 2
Q
Q t Q td G t G
dt Q t
Δ
+ τ − θ+ Φ =
( ) ( )
( )
cot1 1
0
00
( ) sin
2 2
cos .
Q
n
n
n
pd G t G t
dt P
p
t
P
Δ
∞
=
Δ θ+ Φ = τ ω + ε
⎛ ⎞Δ
× − ω + ε⎜ ⎟
⎝ ⎠
∑
Integrating the right hand side over the vibration
period, we obtain zero. Thus, also do not obtain here
time constant vibration RR errors, because the circuit
is free of modulation of the bandwidth of the FB loop
with superimposition on the modulated constant
component (as it was above). Thus, the dividing circuit
is an efficient mean for elimination of the time con
stant vibration RR error, as it was for the open loop
FOG.
Note that, in (17)–(19), some small terms were
omitted, which may result in residual modulation of
the bandwidth of the FB loop. However, the depth of
the bandwidth modulation in ODE (16) is much lower
than in (10), i.e., the time constant vibration error is
also much lower than the same error in a conventional
processing circuit. For further suppression of this kind
of the RR error, it is necessary to implement the above
stabilization of the constant component of the light
intensity.
3. DIVIDING CIRCUIT
AND STABILIZATION OF THE CONSTANT
COMPONENT OF SIGNAL
Figure 5 shows one of possible variants of the elec
tronic circuitcircuit implementing the described set of
measures elimination of the RR vibration error by
means of electronic data processing circuit (the divid
ing circuit and stabilization of the constant compo
nent). The circuit Circuitis designed on two boards 1
and 2 containing analog and digital parts. Transitions
between them are realized by analog to digital and
digital to analog converters (ADCs and DACs). The
digital part may be built on the basis of a microproces
sor or a field programmable gate array (FPGA). Note
that, here, SD 7 with two outputs is used. At the first
output, signal S–(t) is formed, and the second output
4
20000 1000
0.4
0.8
1.2
1.6
2.0
ω, s–1
ΔΩΔQ, deg/h
1
2
3
4
Fig. 4. Frequency dependences of the RR error caused by
only light intensity modulation (15). Curves 1–4 corre
spond to G0: 500, 2000, 10000, and 20000 s–1
.
7. 846
JOURNAL OF CJOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS Vol. 58 No. 8 2013
A. M. KURBATOV, R. A. KURBATOV
is used for generation of signal S+(t), which is neces
sary for the dividing circuit and is formed at point 9
circuit.
The Circuitmain purpose of this circuit is full digital
reconstruction of the constant component at point 9,
which is necessary for division operation. There is also
another important application: to abandon formation
of large constant components of signal at DA 5
(it replaces here the OA), in order to exclude distor
tions of the error signal caused by saturation (above, in
the description of the sources of the RR vibration, this
problem was not considered).
For solution of these problems, it is proposed to
construct an additional FB loop, which is used to
branch the reconstructed constant component from
point 9 to both dividing unit 10 and unit 12 with a gain
of 1/Z (in order to compensate for subsequent ampli
fication with coefficient Z in DA 5). This component
is then branched to DAC 13 and device 14 with the
gain α < 1, and, afterwards, enters the second input of
DA 5. As a result, at the output of DA 5, we have the
initial constant component multiplied by (1 – α) 1
(which prevents DA 5 from saturation), which is then
reconstructed to its initial value after device 6 with the
gain 1/(1–α).
The signal from the DAC also enters circuitcircuit 15
controlling the gain of PDA 4, compensating the
vibrational modulation of the light intensity . As a
result, the circuitcircuit solves the problems of division
and stabilization of the signal constant component,
i.e. considerably suppresses the vibration error of RR
measurement.
CONCLUSIONS
RR Vibration errors of the rotation rate in open
and closed loop FOGs have been considered. For the
closed loop FOG, an approximate analytical model
has been developed. This model has revealed a new
vibration error, which is associated only with light
power oscillations and is independent of the vibra
tional phase difference. This error is caused by super
imposition of modulation of the bandwidth of the FB
loop (due to intensity oscillations) on the demodu
lated constant component of signal (3à), which, in the
presence of vibrations, also contains a time periodic
component. A circuitcircuit allowing considerable
suppression of the RR vibration error in the closed
loop FOG has been proposed.
REFERENCES
1. A. Ohno, S. Motohara, R. Usui, et al., Proc. SPIE
1585, 82 (1991).
2. H. Lefevre, P. Martin, J. Morisse, et al., Proc. SPIE
1367, 72 (1990).
3. G. Pavlath, Proc. SPIE 2837, 46 (1996).
4. T. C. Greening, US Pat, No. 2008/0079946 A1 (3 Apr.
2008).
5. G. A. Sanders, R. C. Dankwort, A. W. Kaliszek, et al.,
US Pat, No. 5923424 (13 Jul. 1999).
6. N. Song, C. Zhang, and X. Du, Proc. SPIE 4920, 115
(2002).
7. K. Bohm, P. Marten, W. Weidel, and K. Petermann,
Electron. Lett. 19, 997 (1983).
8. J. Honthaas, S. Ferrand, V. D. Pham, et al., in CD ROM
Proc. Symp. Gyro Technology. Inertial Components and
Integrated Systems, Karlsruhe, Sept. 16–17, 2008
(Karlsruher Inst. fur Technologie, Inst. fur Theore
tische Elektrotechnik und Systemoptimierung,
Karlsruhe, 2008); http://www.ite.kit.edu/ISS/2008/
DGON_ITE_Gyro_Programme_2008.pdf.
9. M. Bielas, Proc. SPIE 2292, 240 (1994).
Ӷ
4
4
4
1 3 2
4
5
15
14
13 12
6 7
8
9
10 11+
–
Fig. 5. Circuit for division and stabilization of the signal constant componentcircuit: 1 and 2 are the boards with analog and digital
parts of the circuitcircuit, 3 is the PD, 4 is the PDA, 5 is the DA, 6 is the analog to digital converter (ADC), 7 is the two output
SD, 8 is the device with the gain 1/(1 – α), 9 is the point of digital reconstruction of the constant component, 10 is the unit divid
ing one input signal by another, 11 is control device for the sawtooth step voltage generator, 12 and 14 are the devices with gains
1/K and α, 13 is the digital to analog converter (DAC), 15 is the unit controlling the PDA gain.
4
SPELL: 1. techniquet, 2. bandwidththat, 3. describedcircuit, 4. circuitcircuit