基于多普勒域补偿的车载雷达距离角度联合成像算法  

A Range-angle Joint Imaging Algorithm for Automotive Radar Systems Based on Doppler Domain Compensation

作　　者：李毅 夏伟杰[1] 周建江[1] 楚咏焱 LI Yi;XIA Weijie;ZHOU Jianjiang;CHU Yongyan(College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211100,China;Nanjing Chuhang Technology Co.,Ltd.,Nanjing 211100,China)

机构地区：[1]南京航空航天大学电子信息工程学院,南京211100 [2]南京楚航科技有限公司,南京211100

出　　处：《雷达学报（中英文）》2023年第5期971-985,共15页Journal of Radars

基　　金：江苏省科技成果转化专项基金(BA2021079)。

摘　　要：高性能、高分辨率单快拍前视成像技术是赋能车载雷达发展的关键,但距离/多普勒走动问题会限制相干积分的实施,同时系统分辨率也往往受限于硬件参数难以提高。根据车载毫米波雷达时分多输入多输出(TDMMIMO)的前视成像体制,该文提出多普勒域补偿和点对点回波校正方法,完成多域信号解耦合,同时完成距离多普勒走动校正和多普勒解模糊。由于有限阵元数及强噪声干扰限制了传统单维度距离角度成像准确性,因此,该文提出一种基于改进贝叶斯匹配追踪方法(IBMP)的多域联合估计算法。该方法基于伯努利-高斯(BG)模型,在最大后验(MAP)准则约束下迭代更新估计参数和支撑域,实现了多维联合信号的高精度重构。仿真和实测结果表明该文方法能够有效解决距离走动问题,并提高雷达前视成像的角度分辨率,具有较强噪声鲁棒性。Single snapshot forward-looking imaging technology with high performance and resolution is crucial for enabling the development of automotive radars.However,range migration issues can limit the implementation of coherent integration methods,and improving system resolution is generally difficult due to hardware parameter limitations.Based on the Time-Division Multiplexing Multiple-Input-Multiple-Output(TDM-MIMO)forward-looking imaging systems of automotive millimeter wave radar,this paper proposes Doppler domain compensation and point-to-point echo correction measures for achieving multidomain signal decoupling.However,the accuracy of traditional single-dimension range and angle imaging is limited by the number of finite array elements and significant noise interference.Therefore,this paper proposes a multidomain joint estimation algorithm based on the Improved Bayesian Matching Pursuit(IBMP)method.The Bayesian method is based on the Bernoulli-Gaussian(BG)model,and the estimated parameters and support domain are iteratively updated in this method while adhering to the Maximum a Posteriori(MAP)criterion constraint to achieve the high-precision reconstruction of multidimensional joint signals.The final set of simulation and actual measurement results demonstrate that the proposed method can effectively solve the problem of range migration and improve the angle resolution of radar forward-looking imaging while exhibiting excellent noise robustness.

关 键 词：毫米波雷达 距离走动 多普勒域补偿 多域联合估计 改进贝叶斯匹配追踪(IBMP)算法 

分 类 号：TN95[电子电信—信号与信息处理]