Real Time Digital Signal Processing Adaptive Filters for Correlated Noise Reduction in Ring Laser Gyro Inertial Systems

Existing opportunities in advanced interceptor, satellite guidance and aircraft navigation technologies, requiring higher signal processing speeds and lower noise environments, are demanding Ring Laser Gyro (RLG) based Inertial Systems to reduce initialization and operational data latency as well as...

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Main Author: Doheny, David A.
Format: Others
Published: Scholar Commons 2004
Subjects:
Online Access:https://scholarcommons.usf.edu/etd/1015
https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=2014&context=etd
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spelling ndltd-USF-oai-scholarcommons.usf.edu-etd-20142019-10-04T05:23:09Z Real Time Digital Signal Processing Adaptive Filters for Correlated Noise Reduction in Ring Laser Gyro Inertial Systems Doheny, David A. Existing opportunities in advanced interceptor, satellite guidance and aircraft navigation technologies, requiring higher signal processing speeds and lower noise environments, are demanding Ring Laser Gyro (RLG) based Inertial Systems to reduce initialization and operational data latency as well as correlated noise magnitudes. Existing signal processing algorithms are often less than optimal when considering these requirements. Advancements in micro-electronic processes have made Application Specific Integrated Circuits (ASIC) a fundamental building block for system implementation when considering higher-level signal processing algorithms. Research of real time adaptive signal processing algorithms embedded in ASICs for use in RLG based inertial systems will help to understand the trade-off in finite register length effects to correlated noise magnitude, organizational complexity, computational efficiency, rate of convergence, and numerical stability. Adaptive filter structures selected will directly affect meeting inertial system performance requirements for data latency, residual noise budgets and real time processing throughput. Research in this area will help to target specific adaptive noise cancellation algorithms for RLG based inertial systems in a variety of military and commercial space applications. Of particular significance is an attempt to identify an algorithm embedded in an ASIC that will reduce the correlated noise components to the theoretical limit of the RLG sensor itself. This would support a variety of applications for the low noise space environments that the RLG based inertial systems are beginning to find promise for such as advanced military interceptor technology and commercial space satellite navigation, guidance and control systems. 2004-04-01T08:00:00Z text application/pdf https://scholarcommons.usf.edu/etd/1015 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=2014&context=etd default Graduate Theses and Dissertations Scholar Commons Mean Recursive Least Square Estimator American Studies Arts and Humanities
collection NDLTD
format Others
sources NDLTD
topic Mean
Recursive
Least
Square
Estimator
American Studies
Arts and Humanities
spellingShingle Mean
Recursive
Least
Square
Estimator
American Studies
Arts and Humanities
Doheny, David A.
Real Time Digital Signal Processing Adaptive Filters for Correlated Noise Reduction in Ring Laser Gyro Inertial Systems
description Existing opportunities in advanced interceptor, satellite guidance and aircraft navigation technologies, requiring higher signal processing speeds and lower noise environments, are demanding Ring Laser Gyro (RLG) based Inertial Systems to reduce initialization and operational data latency as well as correlated noise magnitudes. Existing signal processing algorithms are often less than optimal when considering these requirements. Advancements in micro-electronic processes have made Application Specific Integrated Circuits (ASIC) a fundamental building block for system implementation when considering higher-level signal processing algorithms. Research of real time adaptive signal processing algorithms embedded in ASICs for use in RLG based inertial systems will help to understand the trade-off in finite register length effects to correlated noise magnitude, organizational complexity, computational efficiency, rate of convergence, and numerical stability. Adaptive filter structures selected will directly affect meeting inertial system performance requirements for data latency, residual noise budgets and real time processing throughput. Research in this area will help to target specific adaptive noise cancellation algorithms for RLG based inertial systems in a variety of military and commercial space applications. Of particular significance is an attempt to identify an algorithm embedded in an ASIC that will reduce the correlated noise components to the theoretical limit of the RLG sensor itself. This would support a variety of applications for the low noise space environments that the RLG based inertial systems are beginning to find promise for such as advanced military interceptor technology and commercial space satellite navigation, guidance and control systems.
author Doheny, David A.
author_facet Doheny, David A.
author_sort Doheny, David A.
title Real Time Digital Signal Processing Adaptive Filters for Correlated Noise Reduction in Ring Laser Gyro Inertial Systems
title_short Real Time Digital Signal Processing Adaptive Filters for Correlated Noise Reduction in Ring Laser Gyro Inertial Systems
title_full Real Time Digital Signal Processing Adaptive Filters for Correlated Noise Reduction in Ring Laser Gyro Inertial Systems
title_fullStr Real Time Digital Signal Processing Adaptive Filters for Correlated Noise Reduction in Ring Laser Gyro Inertial Systems
title_full_unstemmed Real Time Digital Signal Processing Adaptive Filters for Correlated Noise Reduction in Ring Laser Gyro Inertial Systems
title_sort real time digital signal processing adaptive filters for correlated noise reduction in ring laser gyro inertial systems
publisher Scholar Commons
publishDate 2004
url https://scholarcommons.usf.edu/etd/1015
https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=2014&context=etd
work_keys_str_mv AT dohenydavida realtimedigitalsignalprocessingadaptivefiltersforcorrelatednoisereductioninringlasergyroinertialsystems
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