吉林大学学报（理学版）2025，Vol.63Issue(3)：924-933,10.DOI:10.13413/j.cnki.jdxblxb.2023487
基于压缩感知稀疏域模型并行坐标下降算法的DOA估计方法
DOA Estimation Method Based on Compressed Sensing Sparse Domain Model Parallel Coordinate Descent Algorithm
摘要
Abstract
Aiming at the problem that the estimation accuracy of the existing estimation methods of the direction of arrival(DOA)was low under the condition of low signal-to-noise ratio,small fast beat and multiple sources,we proposed a DOA estimation method based on parallel coordinate descent algorithm.Firstly,the airspace was uniformly divided into equal angles,and the super-complete redundant dictionary was constructed.Secondly,the sparse signal was reconstructed by using the idea of parallel coordinate descent algorithm,and the sparse coefficient matrix of the signal in spatial space was obtained.Finally,the l2-norm of the sparse matrix row vector was mapped to the spatial grid to obtain an accurate DOA estimate.The simulation experiment results show that the proposed method is superior to subspace algorithm,greedy algorithm and convex optimization algorithm under the conditions of low signal-to-noise ratio,small fast beat and multiple sources,and has lower root mean square error(RMSE),higher DOA estimation accuracy and higher operational efficiency.关键词
波达方向估计/压缩感知/并行坐标下降算法/矢量水听器阵列信号Key words
direction of arrival estimation/compressed sensing/parallel coordinate descent algorithm/vector hydrophone array signal分类
电子信息工程引用本文复制引用
王宏妍,白艳萍,郑文康,王立府,续婷..基于压缩感知稀疏域模型并行坐标下降算法的DOA估计方法[J].吉林大学学报（理学版）,2025,63(3):924-933,10.基金项目
国家自然科学基金(批准号:61774137)、山西省基础研究计划资助项目(批准号:202103021224195 （批准号:61774137）
202103021224212 （）
202103021223189 （）
20210302123019)和山西省回国留学人员科研项目(批准号:2020-104 （）
2021-108). （）
