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...

Full description

Saved in:
Bibliographic Details
Main Authors: Yanfeng Liang, Wenwu Wang, Jonathon Chambers
Format: Default Conference proceeding
Published: 2009
Subjects:
Online Access:https://hdl.handle.net/2134/6516
Tags: Add Tag
No Tags, Be the first to tag this record!
id rr-article-9553271
record_format Figshare
spelling 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
institution Loughborough University
collection Figshare
topic Mechanical engineering not elsewhere classified
Adaptive interference cancellation
Adaptive signal processing
Blind source separation
Sea clutter removal
Mechanical Engineering not elsewhere classified
spellingShingle 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
description 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
_version_ 1756514946421620736