liang.pdf (198.06 kB)
0/0

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

Download (198.06 kB)
conference contribution
posted on 19.07.2010 by Yanfeng Liang, 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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

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

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2009

Notes

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.

ISBN

9781424458257

ISSN

1058-6393

Language

en

Exports