DocumentCode
3411265
Title
MIMO radar signal separation algorithm in non-Gaussian clutter
Author
Feng Xun ; Wang Shou-yong ; Yang Jun ; Du Peng-fei ; Zhu Xiao-bo
Author_Institution
Air Force Radar Acad., Wuhan, China
Volume
2
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
979
Lastpage
983
Abstract
This paper addresses the problem of MIMO radar signal separation with traditional matched filtering (MF) in dependent non-Gaussian clutter, and a fractional lower order generalized sidelobe canceller (FLO-GSC) is proposed. In the proposed method, the dependent clutter and the undesired transmitting signals are regarded as interference. By using the fractional lower order statistics of the received signals based on the rule of minimum mean square error (MMSE), the FLO-GSC model is derived. Finally, simulations are given for the MIMO radar signal separation in SG-Alpha stable distribution clutter. The results show that the proposed method is efficient for MIMO radar signal separation in dependent non-Gaussian clutter.
Keywords
MIMO radar; filtering theory; least mean squares methods; radar clutter; radar signal processing; source separation; statistical analysis; FLO-GSC model; MIMO radar signal separation algorithm; MMSE; SG-Alpha stable distribution clutter; fractional lower order generalized sidelobe canceller; fractional lower order statistics; interference; matched filtering; minimum mean square error; nonGaussian clutter; transmitting signal; Clutter; Correlation; Covariance matrix; Indexes; MIMO radar; Source separation; MIMO radar; SG-Alpha stable distribution; fractional lower order statistics; generalized sidelobe canceller; signal separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159715
Filename
6159715
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