Adaptive signal processing techniques for clutter removal in radar-based navigation systems
The problem of background clutter remains as a major challenge in radar-based navigation, particularly due to its time-varying statistical properties. Adaptive solutions for clutter removal are therefore sought which meet the demanding convergence and accuracy requirements of the navigation applicat...
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2009
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rr-article-95532712009-01-01T00:00:00Z Adaptive signal processing techniques for clutter removal in radar-based navigation systems Yanfeng Liang (7202699) Wenwu Wang (4352767) Jonathon Chambers (1251609) Mechanical engineering not elsewhere classified Adaptive interference cancellation Adaptive signal processing Blind source separation Sea clutter removal Mechanical Engineering not elsewhere classified The problem of background clutter remains as a major challenge in radar-based navigation, particularly due to its time-varying statistical properties. Adaptive solutions for clutter removal are therefore sought which meet the demanding convergence and accuracy requirements of the navigation application. In this paper, a new structure which combines blind source separation (BSS) and adaptive interference cancellation (AIC) is proposed to solve the problem more accurately without prior statistical knowledge of the sea clutter. The new algorithms are confirmed to outperform previously proposed adaptive schemes for such processing through simulation studies. 2009-01-01T00:00:00Z Text Conference contribution 2134/6516 https://figshare.com/articles/conference_contribution/Adaptive_signal_processing_techniques_for_clutter_removal_in_radar-based_navigation_systems/9553271 CC BY-NC-ND 4.0 |
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Loughborough University |
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Mechanical engineering not elsewhere classified Adaptive interference cancellation Adaptive signal processing Blind source separation Sea clutter removal Mechanical Engineering not elsewhere classified |
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Mechanical engineering not elsewhere classified Adaptive interference cancellation Adaptive signal processing Blind source separation Sea clutter removal Mechanical Engineering not elsewhere classified Yanfeng Liang Wenwu Wang Jonathon Chambers Adaptive signal processing techniques for clutter removal in radar-based navigation systems |
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The problem of background clutter remains as a major challenge in radar-based navigation, particularly due to its time-varying statistical properties. Adaptive solutions for clutter removal are therefore sought which meet the demanding convergence and accuracy requirements of the navigation application. In this paper, a new structure which combines blind source separation (BSS) and adaptive interference cancellation (AIC) is proposed to solve the problem more accurately without prior statistical knowledge of the sea clutter. The new algorithms are confirmed to outperform previously proposed adaptive schemes for such processing through simulation studies. |
format |
Default Conference proceeding |
author |
Yanfeng Liang Wenwu Wang Jonathon Chambers |
author_facet |
Yanfeng Liang Wenwu Wang Jonathon Chambers |
author_sort |
Yanfeng Liang (7202699) |
title |
Adaptive signal processing techniques for clutter removal in radar-based navigation systems |
title_short |
Adaptive signal processing techniques for clutter removal in radar-based navigation systems |
title_full |
Adaptive signal processing techniques for clutter removal in radar-based navigation systems |
title_fullStr |
Adaptive signal processing techniques for clutter removal in radar-based navigation systems |
title_full_unstemmed |
Adaptive signal processing techniques for clutter removal in radar-based navigation systems |
title_sort |
adaptive signal processing techniques for clutter removal in radar-based navigation systems |
publishDate |
2009 |
url |
https://hdl.handle.net/2134/6516 |
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1797108939898224640 |