电波科学学报2025，Vol.40Issue(2)：276-285,10.DOI:10.12265/j.cjors.2024182
基于低秩稀疏约束的分布式穿墙雷达成像算法
Distributed through-the-wall radar imaging algorithm based on low-rank and sparsity constraints
摘要
Abstract
When using distributed through-the-wall radar for detecting obscured targets,the system needs to address the interference caused by wall clutter.However,existing distributed through-the-wall radar imaging algorithms based on compressive sensing(CS)often assume that wall clutter has already been removed,or adopt a two-stage approach where existing wall clutter suppression algorithms are applied before obtaining the target image.To address this problem,this paper proposes a distributed through-the-wall radar imaging algorithm based on low-rank and sparsity constraints,which can simultaneously achieve wall clutter suppression and high-precision target imaging,aiming to solve issues such as long imaging times and wall clutter interference in distributed through-the-wall radar imaging based on CS.Specifically,the proposed algorithm first formulates an optimization problem by leveraging the low-rank nature of wall echoes,the sparsity of the target image,and the structural correlation of the target across different views.Then,a proximal gradient iterative algorithm is employed to efficiently solve the optimization problem,and the concept of the imaging support set is introduced to significantly improve the efficiency of the proposed algorithm.Simulations and real-world experiments validate the effectiveness of the proposed algorithm,offering a new approach for through-the-wall radar imaging.关键词
分布式穿墙雷达/墙体杂波/低秩/稀疏/近端梯度迭代算法/成像支撑集Key words
distributed through-the-wall radar/wall clutter/low-rank/sparsity/proximal gradient iterative algorithm/imaging support set分类
电子信息工程引用本文复制引用
邱晨,刘杰,于君明,陈家辉,郭世盛,崔国龙..基于低秩稀疏约束的分布式穿墙雷达成像算法[J].电波科学学报,2025,40(2):276-285,10.基金项目
国家自然科学基金(62371110) （62371110）
衢州市财政资助科研项目(2022D005,2022D008,2023D032) （2022D005,2022D008,2023D032）
111计划项目(B17008) （B17008）
中国博士后科学基金(2023M740527) （2023M740527）
博士后创新人才支持计划(BX20230056) （BX20230056）
