FDA-MIMO雷达自适应分布式目标Rao检测算法研究

黄榜; 王文钦; 李萍; 简江伟; 张顺生

doi:10.12000/JR21191

FDA-MIMO雷达自适应分布式目标Rao检测算法研究

doi: 10.12000/JR21191

黄榜¹,
王文钦^{1, 2, ,},
李萍³,
简江伟¹,
张顺生⁴

1.
电子科技大学信息与通信工程学院成都 611731
2.
ATR国家级重点实验室电子科技大学分室成都 611731
3.
电子科技大学通信抗干扰技术国家级重点实验室成都 611731
4.
电子科技大学电子科学技术研究院成都 611731

基金项目: 国家自然科学基金(62171092)

详细信息

作者简介:
黄榜(1994–)男，湖北恩施人，现为电子科技大学在读博士生，主要研究方向为FDA-MIMO雷达、统计信号处理

王文钦(1979–)，男，四川成都人。教授，博士生导师，主要研究方向为阵列处理及其在雷达、通信和电子对抗中的应用研究

李　萍(1995–)，女，四川南充人，现为电子科技大学在读研究生，主要研究方向为阵列信号处理

简江伟(1998–)，男，贵州德江人。现为电子科技大学在读研究生，主要研究方向为阵列信号处理

张顺生(1980–)，男，四川成都人。研究员，博士生导师，主要研究方向为雷达信号处理

通讯作者:
王文钦 wqwang@uestc.edu.cn

责任主编：朱圣棋 Corresponding Editor: ZHU Shengqi
中图分类号: TN958
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出版历程
- 收稿日期: 2021-11-26

Adaptive Distributed Target Detection for FDA-MIMO Radar with Rao Detector

1.
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2.
Branch of ATR National Key Laboratory, University of Electronic Science and Technology of China, Chengdu 611731, China
3.
National Key Laboratory of Science and Technology on Communication, University of Electronic Science and Technology of China, Chengdu 611731, China
4.
Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China

Funds: The National Natural Science Foundation of China (62171092)

More Information

Corresponding author: WANG Wenqin, wqwang@uestc.edu.cn

摘要

摘要: 由于FDA-MIMO具有的超分辨特性使得可以在单个距离分辨单元之内利用目标更多的散射点，本文将高斯杂波背景下协方差矩阵未知的分布式目标检测问题建立为一个求和形式而非MIMO或相控阵雷达中仅考虑单点目标问题。进而，设计了无须训练数据的自适应Rao检测器。理论分析和仿真结果均验证了该算法的正确性和有效性。
- FDA-MIMO /
- FDA-MIMO radar /
- 分布式目标 /
- Rao检测 /
- 自适应检测
Abstract: This paper studies adaptive distributed targets detection for frequency diverse array multiple-input multiple-output (FDA-MIMO) radar, where the targets are embedded in Gaussian clutter with unknown covariance matrix. The proposed FDA-MIMO radar detection model considers also the distributed targets establishing as a summation expression, which is different from the classic detection models in MIMO and/or phase array radars that discuss only point-like targets. Next, the detector through Rao criterion without the need of training data are proposed. The proposed method together with all theoretical analysis are verified by numerical results.
- FDA-MIMO /
- FDA-MIMO radar /
- Distributed targets /
- Rao detector /
- Adaptive target detection

HTML全文

图 1 检测概率随SCR的变化，其中$K = 2N$

Figure 1. Detection probability versus SCR, when $K = 2N$

下载: 全尺寸图片幻灯片

图 2 检测概率随SCR的变化，其中$K = 4N$

Figure 2. Detection probability versus SCR, when $K = 4N$

下载: 全尺寸图片幻灯片

图 3 检测概率随SCR的变化，其中$K = 16N$

Figure 3. Detection probability versus SCR, when $K = 16N$

下载: 全尺寸图片幻灯片

图 4 检测概率随失配量的变化，其中SCR=–10d B，K = 2N

Figure 4. Detection probability versus ${\cos ^2}\phi $, with SCR=–10 dB, K = 2N

下载: 全尺寸图片幻灯片

图 5 检测概率随失配量的变化，其中SCR=–10 dB, K = 4N

Figure 5. Detection probability versus ${\cos ^2}\phi $, with SCR=–10 dB, K = 4N

下载: 全尺寸图片幻灯片

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