【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。更多还原

【Abstract】 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.更多还原