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
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;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159715