University of Surrey

Test tubes in the lab Research in the ATI Dance Research

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

Liang, Y, Wang, W and Chambers, J (2009) Adaptive signal processing techniques for clutter removal in radar-based navigation systems In: Asilomar 2009, 2009-11-01 - 2009-11-04, Pacific Grove, USA.

[img] PDF
LiangWC_Asilomar_2009.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (175kB)
[img] PDF (licence)
SRI_deposit_agreement.pdf
Restricted to Repository staff only

Download (33kB)

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
AuthorsEmailORCID
Liang, YUNSPECIFIEDUNSPECIFIED
Wang, WUNSPECIFIEDUNSPECIFIED
Chambers, JUNSPECIFIEDUNSPECIFIED
Date : 2009
Identification Number : https://doi.org/10.1109/ACSSC.2009.5469815
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:43
Last Modified : 28 Mar 2017 14:43
URI: http://epubs.surrey.ac.uk/id/eprint/596104

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800