雷达科学与技术2026，Vol.24Issue(2)：177-184,8.DOI:10.3969/j.issn.1672-2337.2026.02.008
基于ANM-ADMM-MM的稀疏阵列DOA估计方法
Sparse Array DOA Estimation Method Based on ANM-ADMM-MM
摘要
Abstract
The alternating direction method of multipliers algorithm for atomic norm minimization in sparse array DOA estimation suffers from low accuracy,large amount of computation and poor noise robustness.An improved atomic norm minimization algorithm based on Majorization-Minimization(ANM-ADMM-MM)is proposed.Firstly,the method is sampled and quantized,and an observation signal model is established.The semi-definite programming(SDP)form is obtained by minimizing the atomic norm.Then,an MM optimization is incorporated into the ADMM iterative process to obtain the optimal estimated Toeplitz matrix.Finally,the MUSIC algorithm is employed to search for the peak of the To-eplitz matrix to determine the angles.Simulation results demonstrate that,compared with the ANM-ADMM algorithm,the running time of the proposed method is reduced by approximately 74%,the estimation accuracy is improved by about 55%at an SNR of 0 dB and by about 35%under the SNR of 15 dB.关键词
稀疏阵列/DOA估计/原子范数最小化/交替方向乘子算法/MM优化Key words
sparse array/DOA estimation/atomic norm minimization/alternating direction method of multipliers/MM optimization分类
信息技术与安全科学引用本文复制引用
张培华,晋良念..基于ANM-ADMM-MM的稀疏阵列DOA估计方法[J].雷达科学与技术,2026,24(2):177-184,8.基金项目
国家自然科学基金(62361015) （62361015）
广西自然科学基金(2023GXNSFAA026060) （2023GXNSFAA026060）
广西八桂学者专项经费资助 （）
