陕西科技大学学报2024，Vol.42Issue(1)：197-205,9.
基于可分离替代函数算法的DOA估计方法
DOA estimation based on separable surrogate function algorithm
摘要
Abstract
Aiming at the problems of the existing direction of arrival(DOA)estimation algo-rithms,such as insufficient estimation accuracy and low efficiency under the conditions of low SNR and multiple sources,a multi snapshot DOA estimation method for vector hydrophone array based on separable surrogate function algorithm is proposed.First,the spatial domain is evenly divided from equal angles,a super complete redundant dictionary is constructed,and the sparse representation model of multi snapshot data of signals in the spatial domain is es-tablished.Then,the separable replacement function algorithm is used to solve the sparse re-construction problem,that is,the distance metric function with the previous solution is added to the original problem,and the contraction operation is used to accelerate the convergence in the iterative solution process,so as to solve the sparse coefficient matrix of signals in the spa-tial domain,Finally,the norm of the row vector in the sparse matrix is mapped to the spatial grid to obtain the DOA estimate.The simulation results show that this method has higher DOA estimation accuracy and stronger robustness than subspace algorithm,greedy algorithm and existing convex optimization algorithm under the condition of low SNR and multiple sources,and has higher execution efficiency compared with similar algorithms.关键词
DOA估计/稀疏重构/压缩感知/可分离替代函数算法/矢量水听器Key words
DOA estimation/sparse reconstruction/compressive sensing/separable surrogate functions algorithm/vector hydrophone分类
信息技术与安全科学引用本文复制引用
郑文康,魏志晴,白艳萍,黄嘉俊,禹秀梅,谭秀辉,王鹏..基于可分离替代函数算法的DOA估计方法[J].陕西科技大学学报,2024,42(1):197-205,9.基金项目
国家自然科学基金项目(61774137) （61774137）
山西省基础研究计划项目(202103021224195,202103021224212,202103021223189,20210302123019) （202103021224195,202103021224212,202103021223189,20210302123019）
山西省回国留学人员科研项目(2020-104,2021-108) （2020-104,2021-108）
