基于加权稳健l1-SRACV算法的宽带信号DOA估计  

DOA Estimation of Wideband Radar Signals Based on the Robust Weighted l1-SRACV Algorithm

作　　者：王书豪 阮怀林 WANG Shu-hao;RUAN Huai-lin(Institute of Electronic Warfare,National University of Defense Technology,Hefei Anhui 230037,China)

机构地区：[1]国防科技大学电子对抗学院,安徽合肥230037

出　　处：《计算机仿真》2020年第2期299-302,420,共5页Computer Simulation

摘　　要：针对基于稀疏表示的l1-SRACV算法DOA估计在低信噪比和小快拍数的情况下估计性能下降的问题,提出了加权稳健l1-SRACV算法对宽带雷达信号进行DOA估计。上述算法首先对目标函数进行加权,减轻了低信噪比条件下的虚假估计,然后使用极大似然算法对协方差矩阵的估计值进行改善,提高算法在小快拍时DOA估计的稳健性,最后将每个子频带的数据进行平均,得到最后的DOA估计结果。仿真结果表明,所提算法在低信噪比和小快拍数时,具有较好的检测概率和测向精度。In the case of low SNR and small snapshot number,the performance of the DOA estimation based on the l1-norm-based sparse representation of array covariance vectors(l1-SRACV)algorithm deteriorates seriously.This paper proposes the robust weighted l1-SRACV algorithm for wideband radar signals DOA estimation.Firstly,in order to reduce false estimation under low SNR conditions,the target function was weighted.Then,for improving the robustness of DOA estimation in small snapshots,we used the maximum likelihood(ML)algorithm to estimate the covariance matrix.Finally,the averages of all the data of each sub band and the final DOA estimation results were obtained.Simulation results show that the proposed algorithm has good detection probability and accuracy at low SNR and small snapshot number.

关 键 词：宽带信号 稀疏表示 加权 极大似然算法 

分 类 号：TN955[电子电信—信号与信息处理]