系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (2): 442-450.doi: 10.12305/j.issn.1001-506X.2025.02.11

• 传感器与信号处理 • 上一篇    

基于多目标稳健STAP的集中式MIMO雷达波形设计

张云雷1,*, 刘立国1, 彭培1, 沈廷立3, 李厚朴2   

  1. 1. 海军工程大学电子工程学院, 湖北 武汉 430033
    2. 海军工程大学电气工程学院, 湖北 武汉 430033
    3. 中国人民解放军95780部队, 浙江 宁波 315040
  • 收稿日期:2023-10-20 出版日期:2025-02-25 发布日期:2025-03-18
  • 通讯作者: 张云雷
  • 作者简介:张云雷 (1981—), 男, 讲师, 博士, 主要研究方向为雷达信号处理、预警探测指挥
    刘立国 (1983—), 男, 副教授, 博士, 主要研究方向为雷达信号处理、大数据分析
    彭培 (1979—), 男, 讲师, 硕士, 主要研究方向为雷达信号处理、预警探测指挥
    沈廷立 (1994—), 男, 硕士, 主要研究方向为MIMO雷达信号处理
    李厚朴 (1984—), 男, 教授, 博士, 主要研究方向为卫星导航
  • 基金资助:
    国家优秀青年科学基金(42122025);国家自然科学基金(42374050);自主立项项目(503040)

Co-located MIMO radar waveform design based on multi-target robust STAP

Yunlei ZHANG1,*, Liguo LIU1, Pei PENG1, Tingli SHEN3, Houpu LI2   

  1. 1. School of Electronic Engineering, Navy University of Engineering, Wuhan 430033, China
    2. School of Electrical Engineering, Navy University of Engineering, Wuhan 430033, China
    3. Unit 95780 of the PLA, Ningbo 315040, China
  • Received:2023-10-20 Online:2025-02-25 Published:2025-03-18
  • Contact: Yunlei ZHANG

摘要:

针对集中式多输入多输出(multiple-input multiple-output, MIMO) 雷达多目标空时自适应信号处理(space-time adaptive signal processing, STAP) 中最优发射波形设计问题, 以最大化最差输出目标信干噪比(signal-to-interference plus noise ratio, SINR) 为优化准则, 联合优化发射波形和接收滤波器。在模型方面, 考虑其他目标作为相干干扰; 在算法方面, 为满足半正定规化(semi-definite programming, SDP) 算法中输出波形相关的协方差矩阵的秩1约束, 提出基于秩1近似的秩递减求解算法。在此基础上,设计两种迭代交替优化算法并对比了算法的性能。仿真结果表明, 最优发射波形同时满足峰均比(peak-to-average ratio, PAR) 和相似性约束, 具有稳健多目标空时杂波抑制能力。

关键词: 多目标, 稳健时空自适应信号处理, 集中式MIMO雷达, 波形设计, 秩递减

Abstract:

To solve the optimal transmit waveform design problem in co-located multiple-input multiple-output (MIMO) radar multi-target space-time adaptive signal processing (STAP), the transmit waveform and receive filter are jointly optimized by maximizing the worst output target signal-to-interference plus noise ratio (SINR) as the optimization criterion. In terms of model, other targets are considered as coherent interference. In terms of algorithm, to meet the rank 1 constraint for the covariance matrix of the output waveform associated with the semi-definite programming (SDP) algorithm, a solution based matrix rank 1 approximation and rank decreasing is proposed. On this basis, two iterative alternating optimization algorithms are designed and their performances are compared. The simulation result shows that the optimal transimit waveform can meet the peak-to-average ratio (PAR) constraint and the similarity constraint, with robust multi-target space-time clutter suppression capabilities.

Key words: multi-target, robust space-time adaptive signal processing (STAP), co-located multiple-input multiple-output (MIMO) radar, waveform design, reduced rank

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