一种基于稀疏重构的多视角MIMO雷达关联成像算法研究

doi:10.12305/j.issn.1001-506X.2024.02.11

系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (2): 470-477.doi: 10.12305/j.issn.1001-506X.2024.02.11

• 传感器与信号处理 • 上一篇

一种基于稀疏重构的多视角MIMO雷达关联成像算法研究

张弓¹^,*, 田雨薇¹, 袁家雯², 张宇³

1. 南京航空航天大学电子信息工程学院, 江苏南京 210016
2. 南京工程学院信息与通信学院, 江苏南京 211167
3. 南京信息工程大学电子与信息工程学院, 江苏南京 210044

收稿日期:2022-08-13 出版日期:2024-01-25 发布日期:2024-02-06
通讯作者: 张弓
作者简介:张弓(1963—), 男, 教授, 博士, 主要研究方向为雷达信号处理、探测与成像
田雨薇(1998—), 女, 硕士研究生, 主要研究方向为雷达信号处理、雷达关联成像
袁家雯(1994—), 女, 博士研究生, 主要研究方向为阵列信号处理、雷达信号处理
张宇(1991—), 男, 博士研究生, 主要研究方向为阵列信号处理、雷达信号处理
基金资助:
国家自然科学基金(62271255);国家自然科学基金(61871218);雷达成像与微波光子技术教育部重点实验室开放课题基金(NJ20210001);南京航空航天大学跨学科创新基金(KXKCJJ202203);江苏省研究生科研与实践创新计划(KYCX20_0201)

A multi-view MIMO radar coincidence imaging algorithm research based on sparse reconstruction

Gong ZHANG¹^,*, Yuwei TIAN¹, Jiawen YUAN², Yu ZHANG³

1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
2. School of Information and Communication Engineering, Nanjing Institute of Technology, Nanjing 211167, China
3. School of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received:2022-08-13 Online:2024-01-25 Published:2024-02-06
Contact: Gong ZHANG

摘要/Abstract

摘要：

为改善复杂目标的成像表现、提升雷达图像的视觉效果，提出一种基于稀疏重构的多视角多输入多输出(multiple input multiple output, MIMO)雷达关联成像方法，设计了多视角雷达散射面积(radar cross section, RCS)起伏的稀疏重构关联成像模型。所提算法能提高辐射场信号随机性，改善复杂目标雷达关联成像参考信号与回波之间相关性退化的情况，减小多视角RCS起伏对相关性的影响，提升多视角下的关联成像质量。最后，通过仿真验证了所提方法的有效性。

关键词: 雷达成像, 多输入多输出, 雷达关联成像, 正则化, 全变差

Abstract:

To improve the imaging performance of complex targets and enhance the visual effect of radar images, a multiple input multiple output (MIMO) radar coincidence imaging method based on sparse reconstruction is proposed. A sparse reconstruction coincidence imaging model with fluctuating radar cross section (RCS) from multi-view is designed. This algorithm can improve the randomness of radiation field signals, improve the degradation of correlation between complex target radar coincidence imaging reference signals and echoes, reduce the impact of multi-view RCS fluctuations on correlation, and improve the quality of coincidence imaging under multi-view conditions. Finally, the effectiveness of the proposed method is verified through the simulation.

Key words: radar imaging, multiple input multiple output (MIMO), radar coincidence imaging, regularization, total variation

中图分类号:

TN95

张弓, 田雨薇, 袁家雯, 张宇. 一种基于稀疏重构的多视角MIMO雷达关联成像算法研究[J]. 系统工程与电子技术, 2024, 46(2): 470-477.

Gong ZHANG, Yuwei TIAN, Jiawen YUAN, Yu ZHANG. A multi-view MIMO radar coincidence imaging algorithm research based on sparse reconstruction[J]. Systems Engineering and Electronics, 2024, 46(2): 470-477.

图/表 8

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参数	取值	参数	取值
发射阵元数	4	接收阵元数	9
发射阵元间距/m	0.5	接收阵元间距/m	1
时间采样数	500	带宽/MHz	500
场景/m	3.6×3.6	成像单元数	15×15
成像单元大小/m	0.24	载频/GHz	10

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一种基于稀疏重构的多视角MIMO雷达关联成像算法研究

A multi-view MIMO radar coincidence imaging algorithm research based on sparse reconstruction

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