DocumentCode :
691578
Title :
Radar Clutter Suppression Solution Based on ICA
Author :
Luo Qian
Author_Institution :
Beijing Inf. Sci. & Technol. Univ., Beijing, China
fYear :
2013
fDate :
6-7 Nov. 2013
Firstpage :
429
Lastpage :
432
Abstract :
It has been a hard task in radar signal processing to detect dim moving targets in a very strong clutter background. This paper presents a new radar clutter suppression solution based on independent component analysis technique to estimate independent components (signals) and separate clutter signal from the observed low signal to noise ratio radar echo. The problems of the sequence order ambiguity and sign uncertainty encountered in the practical use of independent component analysis for signal component separation have been solved by applying kurtosis criterion to separate basis signals. Simulation results show that this method can efficiently suppress strong clutter and detect dim moving target signals.
Keywords :
independent component analysis; object detection; radar clutter; radar detection; source separation; ICA; clutter signal separation; dim moving target detection; independent component analysis technique; kurtosis criterion; radar clutter suppression solution; radar echo; radar signal processing; signal component separation; signal to noise ratio; Clutter; Independent component analysis; Radar clutter; Radar imaging; Signal to noise ratio; Vectors; agent; decision support system; human resource management system; multi-agent system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-2791-3
Type :
conf
DOI :
10.1109/ISDEA.2013.502
Filename :
6843479
Link To Document :
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