Robust Transceiver Design for Wideband MIMO Radar Under Space-Frequency Scheme

IF 5.5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-09-09 DOI:10.1109/TSP.2026.3732566
Junhui Qian;Jiheng Liu;Yujie Zou;Xiaobing Song;Jing Yang;Guobing Qian
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引用次数: 0

Abstract

Aiming at the problem of angle uncertainty in wideband Multiple-Input Multiple-Output (MIMO) radar system, this paper investigates the robust design of space-frequency joint design for radar transceiver. Firstly, a system model considering angle disturbance is established, and the average Signal-to-Interference-Noise Ratio (SINR) in statistical sense is introduced as a performance indicator to enhance the robustness of target detection. Subsequently, two types of joint optimization strategies are developed: one is a joint optimization method with SINR and Integrated Mainlobe to Sidelobe Ratio (IMSR) as weighted objectives; the other is the SINR maximization problem within a $\boldsymbol{\varepsilon}$ constraint framework. On this basis, combining the Maximization-Minimization (MM) framework, the Dinkelbach framework with the adaptive Alternating Direction Penalty Method (ADPM), the corresponding multi-objective iterative optimization procedures are proposed to comprehensively optimize the mainlobe energy concentration and sidelobe leakage suppression performance, thereby improving the robustness of the algorithm and the flexibility of parameter adjustment. The simulation results verify the superiority of the proposed method in convergence speed and detection performance in multi-target, strong interference and angle uncertainty scenarios.
空频下宽带MIMO雷达的鲁棒收发器设计
针对宽带多输入多输出(MIMO)雷达系统中存在的角度不确定性问题,研究了雷达收发器空频联合设计的鲁棒性设计。首先,建立考虑角度干扰的系统模型,引入统计意义上的平均信噪比(SINR)作为性能指标,增强目标检测的鲁棒性;随后,提出了两种联合优化策略:一种是以信噪比和综合主副瓣比(IMSR)为加权目标的联合优化方法;另一个是$\boldsymbol{\varepsilon}$约束框架内的SINR最大化问题。在此基础上,结合最大化最小化(MM)框架、Dinkelbach框架和自适应交替方向惩罚法(ADPM),提出相应的多目标迭代优化程序,对主瓣能量集中和副瓣泄漏抑制性能进行综合优化,从而提高算法的鲁棒性和参数调整的灵活性。仿真结果验证了该方法在多目标、强干扰和角度不确定场景下在收敛速度和检测性能上的优越性。
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来源期刊
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing 工程技术-工程:电子与电气
CiteScore
11.20
自引率
9.30%
发文量
310
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term “signal” includes, among others, audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. Examples of topics of interest include, but are not limited to, information processing and the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.
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