SCALING UP MIMO RADAR FOR TARGET DETECTION

被引:0
|
作者
Fortunati, Stefano [1 ]
Sanguinetti, Luca [1 ]
Greco, Maria Sabrina [1 ]
Gini, Fulvio [1 ]
机构
[1] Univ Pisa, Dipartimento Ingn Informaz, Pisa, Italy
来源
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2019年
关键词
MISSPECIFIED MODELS;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This work focuses on target detection in a colocated MIMO radar system. Instead of exploiting the "classical' temporal domain, we propose to explore the spatial dimension (i.e., number of antennas M) to derive asymptotic results for the detector. Specifically, we assume no a priori knowledge of the statistics of the autoregressive data generating process and propose to use a mispecified Wald-type detector, which is shown to have an asymptotic chi-squared distribution as M -> infinity. Closed-form expressions for the probabilities of false alarm and detection are derived. Numerical results are used to validate the asymptotic analysis in the finite system regime. It turns out that, for the considered scenario, the asymptotic performance is closely matched already for M >= 50.
引用
收藏
页码:4165 / 4169
页数:5
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