基于压缩感知的TDM-MIMO毫米波雷达高分辨三维成像算法及实现  

High-resolution 3D imaging algorithm for TDM-MIMO millimeter wave radar based on compressed sensing

作　　者：刘东东 张远辉 刘康 王书楠 LIU Dongdong;ZHANG Yuanhui;LIU Kang;WANG Shunan(School of Mechanical and Electrical Engineering,China Jiliang University,Hangzhou 310020,China;Shanghai Andar Electronic Technology Co.,LTD,Shanghai 201800,China)

机构地区：[1]中国计量大学机电工程学院,杭州310020 [2]上海岸达电子科技有限公司,上海201800

出　　处：《激光杂志》2025年第2期131-140,共10页Laser Journal

基　　金：浙江省自然科学基金一般项目(No.LY19F010007)。

摘　　要：提出了一种基于压缩感知重构理论的调频连续波(Frequency Modulated Continuous Wave, FMCW)集中式多输入多输出(Multiple Input Multiple Output, MIMO)雷达三维高分辨成像方法。对于时分多址多输入多输出雷达得到的阵列信号,采用基于天线空间布局的分块压缩感知(Block Compressed Sensing, BCS)方法。此外,设计了三维恒虚警滤波器来降低杂波信号对重构信号质量的影响,并设计了相关平滑方法来消除不同块之间的重构误差。所提算法能够在低采样比下实现复杂目标的高分辨成像,避免了传统压缩感知重构中算法复杂和占用硬件资源的问题,仿真和实验证明了该方法的可行性和实用性。与其他成像方法相比,所提算法的高分辨成像效果与合成孔径雷达(Synthetic Aperture Radar, SAR)相当。仿真结果表明,当压缩采样比为0.6时,目标成像的信杂波比达到了原始目标水平,目标结构相似度指标达到80%,实现了理想的成像效果。该算法在工程领域具有一定实用性,有望广泛应用于毫米波雷达的目标检测与识别。In this paper,a 3D high-resolution imaging method based on compressive sensing reconstruction theory is proposed for Frequency Modulated Continuous Wave(FMCW)Colocated Multiple Input Multiple Output(MIMO)radar.For the array signals obtained by Time Division Multiple access MIMO radars,the block compressed sensing(BCS)method based on antenna spatial layout was adopted.In addition,a three-dimensional Constant false alarm Rate(3D-CFAR)filter was designed to reduce the influence of clutter signals on the quality of reconstructed signals,and a correlation smoothing method was designed to eliminate the reconstruction errors between different blocks.The proposed algorithm can achieve high-resolution imaging of complex targets at a low sampling ratio and avoid the prob-lems of algorithm complexity and hardware resource occupation in traditional compressed sensing reconstruction.Simu-lation and experiment prove its feasibility and practicability.Compared with other imaging methods,the high-resolu-tion imaging effect of the proposed algorithm is comparable to that of Synthetic Aperture Radar(SAR).The simulation results show that when the compressed sampling ratio is 0.6,the signal-to-clutter ratio of the target imaging has reached the level of the original tar-get,and the target structural similarity index has reached 80%,which realizes the ideal imaging effect.The algorithm has practicability in the engineering field and is expected to be widely used in target detection and recognition of milli-meter wave radar.

关 键 词：FMCW毫米波雷达 压缩感知 分块压缩感知重构 TDM-MIMO 3D-CFAR 高分辨成像 

分 类 号：TN957.51[电子电信—信号与信息处理]