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Adaptive signal processing techniques for clutter removal in radar-based navigation systems

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3 Author(s)
Yanfeng Liang ; College of Automation, Harbin Engineering University, China ; Wenwu Wang ; Jonathon Chambers

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.

Published in:

2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers

Date of Conference:

1-4 Nov. 2009