GLRT-based Adaptive Detector for Colocated MIMO Radar in Partially Homogeneous Environment

被引：0

作者：

Liu, Weijian ^{[1
]}

Huang, Can ^{[2
]}

Du, Qinglei ^{[1
]}

Zhou, Bilei ^{[1
]}

Zhang, Zhaojian ^{[1
]}

Chen, Hao ^{[1
]}

机构：

[1] Wuhan Elect Informat Inst, Wuhan, Peoples R China

[2] Wuhan Univ, Sch Elect Informat, Wuhan, Peoples R China

来源：

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN ELECTRONICS ENGINEERING, AIEE 2024 | 2024年

基金：

中国国家自然科学基金;

关键词：

MIMO radar; adaptive detection; partially homogeneous environment;

D O I：

10.1145/3658835.3658844

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper considers the problem of target detection for collocated multiple-input multiple-output (MIMO) in partially homogeneous environment (PHE), where the noise in the test and training data share the same covariance matrix structure but with unknown power mismatch. We design an effective detector according to the generalized likelihood ratio test (GLRT). Using simulation results, we show that the proposed GLRT detector can achieve much higher probability of detection (PD) than the existing ones.

引用

页码：65 / 68

页数：4

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