CAJ | 학술논문

为解决多径环境下米波雷达对低空目标探测问题，本文结合信号空域稀疏性和多径模型下的复合导向矢量提出了一种多径环境下高分辨的低空测角方法，能够有效地克服多径效应问题。该方法首先利用多径模型下的先验信息产生复合导向矢量，然后利用该导向矢量构造压缩感知矩阵，此时的感知矩阵是整合了多径衰减系数和回波角度关系等先验信息，同时通过对多快拍数据矩阵的奇异值分解获得较高信噪比的信号数据矩阵，继而利用感知矩阵和信号数据矩阵建立最优化 L 1范数约束求解模型，最后利用凸优化工具求解稀疏空间谱，估计直达波和反射波入射角度值。该方法能够增强信息矢量稀疏性，在较低信噪比下可获得高分辨的角度估计性能。仿真实验证明了该方法的优越性。
위해결다경배경하미파뢰체대저공목표탐측문제，본문결합신호공역희소성화다경모형하적복합도향시량제출료일충다경배경하고분변적저공측각방법，능구유효지극복다경효응문제。해방법수선이용다경모형하적선험신식산생복합도향시량，연후이용해도향시량구조압축감지구진，차시적감지구진시정합료다경쇠감계수화회파각도관계등선험신식，동시통과대다쾌박수거구진적기이치분해획득교고신조비적신호수거구진，계이이용감지구진화신호수거구진건립최우화 L 1범수약속구해모형，최후이용철우화공구구해희소공간보，고계직체파화반사파입사각도치。해방법능구증강신식시량희소성，재교저신조비하가획득고분변적각도고계성능。방진실험증명료해방법적우월성。
For the low-angle estimation problem of meter-wave radars,based on the signal spatial sparse-ness and the complex steering vector in multipath,a new high-resolution angle estimation method is proposed. First,this method utilizes priori information of the multipath model to produce complex steering vector,and then the compressed sensing matrix is constructed,which contains priori information such as multipath attenua-tion coefficient and angle relationship.Meanwhile,by singular value decomposition (SVD)of the multi-snap da-ta matrix,a data matrix with higher signal-noise-ratio (SNR)can be obtained.Afterwards,the compressed sensing matrix and the new data matrix are used to construct the optimal L 1-norm constraint model.Finally, convex optimality tools are used to calculate the sparse spectral function.This method can improve the sparse-ness of information vector and it has a high-resolution performance at low SNR in multipath.Simulation results demonstrate the advantage of the proposed method over the L 1-SVD method.