Large System Analysis of a GLRT for Detection With Large Sensor Arrays in Temporally White Noise

被引:9
|
作者
Hiltunen, Sonja [1 ,2 ]
Loubaton, Philippe [2 ]
Chevalier, Pascal [1 ,3 ]
机构
[1] Thales Commun Secur, F-92622 Gennevilliers, France
[2] Univ Paris Est, MLV, CNRS, Lab Informat Gaspard Monge, F-77454 Marne La Vallee 2, France
[3] CNAM, Lab CEDRIC, F-75141 Paris 3, France
关键词
Asymptotic analysis; GLRT; multichannel detection; random matrix theory; EIGENVALUE BASED DETECTION; RANDOM-MATRIX THEORY; SIGNALS; CHANNELS; SYNCHRONIZATION; INTERFERENCE; SAMPLES; LIMIT;
D O I
10.1109/TSP.2015.2452220
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper addresses the behavior of a classical multiantenna GLRT test that allows to detect the presence of a known signal corrupted by a multipath propagation channel and by an additive temporally white Gaussian noise with unknown spatial covariance matrix. The paper is focused on the case where the number of sensors M is large, and of the same order of magnitude as the sample size N, a context which is modeled by the large system asymptotic regime M -> +infinity, N -> +infinity in such a way that M/N -> c for c is an element of (0, +infinity). The purpose of this paper is to study the behaviour of a GLRT statistics in this regime, and to show that the corresponding theoretical analysis allows to accurately predict the performance of the test when M and N are of the same order of magnitude.
引用
收藏
页码:5409 / 5423
页数:15
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