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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/6516

Title: Adaptive signal processing techniques for clutter removal in radar-based navigation systems
Authors: Liang, Yanfeng
Wang, Wenwu
Chambers, Jonathon
Keywords: Adaptive interference cancellation
Adaptive signal processing
Blind source separation
Sea clutter removal
Issue Date: 2009
Publisher: © IEEE
Citation: LIANG, Y., WANG, W. and CHAMBERS, J., Adaptive signal processing techniques for clutter removal in radar-based navigation systems. IN: Forty-Third Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA., 1-4 Nov., pp. 1855-1858
Abstract: 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.
Description: This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/ACSSC.2009.5469815
URI: https://dspace.lboro.ac.uk/2134/6516
ISBN: 9781424458257
ISSN: 1058-6393
Appears in Collections:Conference Papers and Contributions (Electronic, Electrical and Systems Engineering)

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