Moving-Target Detection for FDA-MIMO Radar in Partially Homogeneous Environments

Author:

He Changshan12,Zhang Running2,Huang Bang3ORCID,Xu Mingming2,Wang Zhibin2,Liu Lei2,Lu Zheng2,Jin Ye14

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

2. Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China

3. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

4. Key Laboratory of Electronics and Information Technology in Satellite Navigation (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China

Abstract

This paper delves into the problem of moving-target detection in partially homogeneous environments (PHE) with unknown Gaussian disturbance using a frequency diverse array multiple-input multiple-output (FDA-MIMO) radar. Using training data, we have derived expressions for four adaptive detectors, including the one-step and two-step generalized likelihood ratio test (GLRT), two-step Rao (TRao) test, and two-step Wald (TWald) test criteria, respectively. All the proposed detectors are characterized by the constant false-alarm rate (CFAR). The theoretical analysis and simulation results validate the effectiveness of the proposed detectors.

Funder

Beijing Nova Program OF FUNDER

Publisher

MDPI AG

Reference43 articles.

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