DocumentCode :
149501
Title :
Asymptotic analysis of a GLRT for detection with large sensor arrays
Author :
Hiltunen, S. ; Loubaton, P. ; Chevalier, P.
Author_Institution :
Commun. Security, AMS/TCP, Thales, Gennevilliers, France
fYear :
2014
fDate :
1-5 Sept. 2014
Firstpage :
2160
Lastpage :
2164
Abstract :
This paper addresses the performance analysis of two GLRT receivers in the case where the number of sensors M is of the same order of magnitude as the sample size N. In the asymptotic regime where M and N converge towards ∞ at the same rate, the corresponding asymptotic means and variances are characterized using large random matrix theory, and compared to the standard situation where N → +∞ and M is fixed. This asymptotic analysis allows to understand the behavior of the considered receivers, even for relatively small values of N and M.
Keywords :
array signal processing; matrix algebra; signal detection; statistical testing; GLRT asymptotic analysis; GLRT receiver performance analysis; generalized likelihood test; large random matrix theory; large sensor arrays; signal detection; Context; Covariance matrices; Gaussian distribution; Noise; Standards; Synchronization; Training; Multichannel detection; asymptotic analysis; large random matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location :
Lisbon
Type :
conf
Filename :
6952772
Link To Document :
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