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Optimized processing of satellite signal via evolutionary search algorithm

Researchers from the Satellite Navigation Research Group (SNAG) of UTM are currently conducting a research program that mitigates the effect of the Anti-Spoofing (AS) policy. A robust strategy, called the Pseudo Randomized Search Strategy (PRSS) has been developed to counter the effect of this AS po...

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Main Authors: Hassan, Azmi, Othman, Rusli, Tang, Kieh Ming
Format: Article
Language:English
Published: 2000
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/2308/1/Hassan2000__OptimizedProcessingofSatelliteSignal.pdf
http://eprints.utm.my/id/eprint/2308/
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spelling my.utm.23082010-06-01T03:02:26Z http://eprints.utm.my/id/eprint/2308/ Optimized processing of satellite signal via evolutionary search algorithm Hassan, Azmi Othman, Rusli Tang, Kieh Ming TK Electrical engineering. Electronics Nuclear engineering Researchers from the Satellite Navigation Research Group (SNAG) of UTM are currently conducting a research program that mitigates the effect of the Anti-Spoofing (AS) policy. A robust strategy, called the Pseudo Randomized Search Strategy (PRSS) has been developed to counter the effect of this AS policy. The PRSS algorithm is an adaptive search technique that can learn a high performance knowledge structure in reactive environments that provide information as an objective function. A combination of three methods, namely optimization, global random search and ambiguity function mapping has produced an efficient and robust mitigation technique. Numerical results indicate that, in all the test cases, no more than 4% search of the total search space was investigated to determine the correct set of answers. This result implies that the size of the search window does not play an important role in determining the search efficiency. This will take away the constraint resulted from the AS policy in processing the GPS satellites signal. The algorithm also shows its robustness because it does not require a good initial starting point. Using a different initial point, all of them produced the correct results 2000-09-24 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/2308/1/Hassan2000__OptimizedProcessingofSatelliteSignal.pdf Hassan, Azmi and Othman, Rusli and Tang, Kieh Ming (2000) Optimized processing of satellite signal via evolutionary search algorithm. TENCON 2000. Proceedings , 1 . pp. 115-121.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Hassan, Azmi
Othman, Rusli
Tang, Kieh Ming
Optimized processing of satellite signal via evolutionary search algorithm
description Researchers from the Satellite Navigation Research Group (SNAG) of UTM are currently conducting a research program that mitigates the effect of the Anti-Spoofing (AS) policy. A robust strategy, called the Pseudo Randomized Search Strategy (PRSS) has been developed to counter the effect of this AS policy. The PRSS algorithm is an adaptive search technique that can learn a high performance knowledge structure in reactive environments that provide information as an objective function. A combination of three methods, namely optimization, global random search and ambiguity function mapping has produced an efficient and robust mitigation technique. Numerical results indicate that, in all the test cases, no more than 4% search of the total search space was investigated to determine the correct set of answers. This result implies that the size of the search window does not play an important role in determining the search efficiency. This will take away the constraint resulted from the AS policy in processing the GPS satellites signal. The algorithm also shows its robustness because it does not require a good initial starting point. Using a different initial point, all of them produced the correct results
format Article
author Hassan, Azmi
Othman, Rusli
Tang, Kieh Ming
author_facet Hassan, Azmi
Othman, Rusli
Tang, Kieh Ming
author_sort Hassan, Azmi
title Optimized processing of satellite signal via evolutionary search algorithm
title_short Optimized processing of satellite signal via evolutionary search algorithm
title_full Optimized processing of satellite signal via evolutionary search algorithm
title_fullStr Optimized processing of satellite signal via evolutionary search algorithm
title_full_unstemmed Optimized processing of satellite signal via evolutionary search algorithm
title_sort optimized processing of satellite signal via evolutionary search algorithm
publishDate 2000
url http://eprints.utm.my/id/eprint/2308/1/Hassan2000__OptimizedProcessingofSatelliteSignal.pdf
http://eprints.utm.my/id/eprint/2308/
_version_ 1643643555995975680
score 13.211869

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