DocumentCode :
1781307
Title :
Polarimetric MIMO radar detection for correlated fluctuating targets
Author :
Bailu Wang ; Guolong Cui ; Wei Yi ; Suqi Li ; Lingjiang Kong
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2014
fDate :
19-23 May 2014
Firstpage :
1229
Lastpage :
1232
Abstract :
We consider the the detection problem of the polarimetric MIMO radar in the presence of the arbitrary correlated, possibly non-identically distributed target backscattered echoes, which is often appeared in both the transmit-receive (T-R) pairs and the different polarimetric channels. We obtain a fully adaptive detector employing two-step design strategy. Specifically, we first derive the Generalized Likelihood Ratio Test (GLRT) by assuming the known polarimetric covariance matrices (PCMs). Then, we replace them with their maximum likelihood estimates (MLEs) computing by secondary data. Finally, we evaluate the performance of the adaptive GLRT, accounting for generalized chi distributions and correlations among the target amplitudes, via some numerical simulations.
Keywords :
MIMO radar; correlation methods; covariance matrices; maximum likelihood estimation; radar polarimetry; radar signal processing; signal detection; statistical distributions; statistical testing; MLE; P-MIMO radar; PCM; adaptive GLRT; adaptive detector; fluctuating target correlation; generalized chi distributions; generalized likelihood ratio test; maximum likelihood estimates; nonidentical distributed target backscattered echoes; numerical simulations; polarimetric MIMO radar detection problem; polarimetric channels; polarimetric covariance matrices; target amplitudes; two-step design strategy; Clutter; Correlation; Covariance matrices; Detectors; Radar polarimetry; Thyristors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2014 IEEE
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4799-2034-1
Type :
conf
DOI :
10.1109/RADAR.2014.6875785
Filename :
6875785
Link To Document :
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