基于托普利兹矩阵集重构的相干信源波达方向估计  

Toeplitz matrices reconstruction based DOA estimation for coherent signals

作　　者：张薇[1,2] 韩勇[3] 金铭[3] 乔晓林[3] ZHANG Wei;HAN Yong;JIN Ming;QIAO Xiao-lin(School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001;School of Electrical&Information Engineering,North Minzu University,Yinchuan 750021,China;School of Information Engineering,Harbin Institute of Technology at Weihai,Weihai 264209,China)

机构地区：[1]哈尔滨工业大学电子与信息工程学院,哈尔滨150001 [2]北方民族大学电信学院,银川750021 [3]哈尔滨工业大学(威海)信息工程研究所,山东威海264209

出　　处：《吉林大学学报（工学版）》2020年第2期703-710,共8页Journal of Jilin University:Engineering and Technology Edition

基　　金：哈尔滨工业大学科研创新基金(HIT.NSRIF2013130);北方民族大学校级科研项目(2019DXXY005).

摘　　要：针对常规相干信源波达方向估计托普利兹矩阵重构算法仅利用部分阵列接收数据的互相关或协方差矩阵进行重构,信息利用不完整且部分算法需去噪声处理等问题,提出一种改进托普利兹矩阵重构算法。利用阵元接收数据矢量构造包含阵元完整相关矩阵信息的托普利兹矩阵集,通过Hermitian转置矩阵修正及正反向平滑运算得到满秩矩阵,并结合运算量低的ESPRIT算法实现相干信号角度估计,同时避免去噪声处理。计算机仿真结果验证了算法的有效性。Most of the state-of-the-art Toeplitz matrix reconstruction algorithms for direction-of-arrival(DOA) estimation of coherent signals use partial correction or covariance matrix information from the received signals,which leads to the incomplete information utilization,and denoising preprocessing is needed in some methods. To overcome this disadvantage,a modified algorithm is presented by adopting the entire correlation information of the received data from all array sensors to reconstruct a set of Toeplitz matrices. After Hermitian transpositing and forward/backward averaging, the equivalent full rank covariance matrix is utilized for coherent signals DOA estimation combined the ESPRIT algorithm with low computation. The presented method avoids denoising processing and the simulation results show the effectiveness of the proposed method.

关 键 词：信息处理技术 波达方向 相干信源 托普利兹矩阵 均匀线阵 

分 类 号：TN911.7[电子电信—通信与信息系统]