基于DCS的发射分集MIMO雷达参数估计  

Parameter estimation for transmit diversity MIMO radar based on distributed compressed sensing

作　　者：王海青[1] 朱晓华[1] 李彧晟[1] 

机构地区：[1]南京理工大学电子工程与光电技术学院,江苏南京210094

出　　处：《系统工程与电子技术》2012年第12期2463-2467,共5页Systems Engineering and Electronics

基　　金：国家自然科学基金(61071163;61201367);江苏省自然科学基金(BK2012382);中国博士后科学基金(20100481143);江苏省博士后基金(1101093C)资助课题

摘　　要：针对目标在多角度观测下的散射系数估计问题,研究了基于分布式压缩感知(distributed com-pressed sensing,DCS)的发射分集多输入多输出(multiple-input multiple-output,MIMO)雷达参数估计方法。在分析发射分集MIMO雷达信号模型的基础上,构建了其联合稀疏表示模型;在分析正交匹配追踪(orthogonalmatching pursuit,OMP)算法实现结构的基础上,提出了一种新的基于迭代式正交匹配追踪的DCS算法。仿真结果表明该方法的估计精度高于DCS-SOMP和幅度相位估计+Capon的算法,重构概率也高于DCS-SOMP算法。To solve the problem of scattering coefficient estimation of the target observed by multiple angles, the parameter estimation method based on distributed compressed sensing （DCS） is investigated for transmit diversity multiple-input multiple-output （MIMO） radar. The signal model of the transmit diversity MIMO radar is analyzed and its joint sparse representation model is constructed correspondingly. Based on analyzing the realization construction of the orthogonal matching pursuit （OMP） algorithm, a new DCS algorithm is proposed by using iterative OMP method. Simulation results show that the proposed method has a better accuracy than the DCS-SOMP and amplitude phase estimation （APES）＋Capon algorithms and higher reconstruction probability than the DCS-SOMP algorithm.

关 键 词：多输入多输出雷达 发射分集 分布式压缩感知 参数估计 

分 类 号：TN957[电子电信—信号与信息处理]