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A joint clutter suppression method based on robust principal component analysis and total variation denoising.

Authors :
Xu, Bangzhen
Lu, Xingyu
GU, Hong
Su, Weimin
Source :
Electronics Letters (Wiley-Blackwell); Mar2022, Vol. 58 Issue 5, p213-215, 3p
Publication Year :
2022

Abstract

In the scene of ground moving target detection, the target echo information is often corrupted by strong clutter. In this letter, a joint clutter suppression algorithm is proposed based on robust principal component analysis and total variation denoising for pulse Doppler radar. The novel method named total variation‐ robust principal component analysis replaces the l1‐norm in robust principal component analysis algorithm with a total variation seminorm. Total variation robust principal component analysis retains the clutter suppression ability of robust principal component analysis, and effectively separates the target from the noise in range‐Doppler domain. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00135194
Volume :
58
Issue :
5
Database :
Complementary Index
Journal :
Electronics Letters (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
155361397
Full Text :
https://doi.org/10.1049/ell2.12399