Signal fusion-based targets detection in the presence of clutter and subspace interference for multiple-input-multiple-output radar

作     者：Li, Zhihua Su, Hongtao Zhou, Shenghua Hu, Qinzhen 

作者机构：Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China 

出 版 物：《IET RADAR SONAR AND NAVIGATION》 (IET雷达、声纳与导航)

年 卷 期：2019年第13卷第1期

页      面：148-155页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 

基　　金：National Natural Sciences Foundation of China 111 Project [B18039] 

主　　题：MIMO radar radar clutter object detection radar detection sensor fusion MIMO communication signal detection target tracking good detection performance low communication cost constant false alarm rate unstructured interference structured interference distribution conventional detection algorithms signal fusion-based targets detection clutter subspace interference signal fusion-based target detection algorithm frequency diversity multiple-input-multiple-output radar 

摘      要：In this study, a signal fusion-based target detection algorithm for frequency diversity multiple-input-multiple-output radar in the presence of clutter and subspace interference is investigated. Remarkably, the proposed algorithm can not only ensure a unique solution for the involved optimisations but also get a good detection performance at a low communication cost. Furthermore, the proposed detector processes a constant false alarm rate with respect not only to the unknown spectral properties of the unstructured interference but also to the structured interference distribution. Simulation experiences in several scenarios indicate that the proposed algorithm has significant improvement in detection performance over conventional detection algorithms.