雷达科学与技术2026，Vol.24Issue(1)：31-41,11.DOI:10.3969/j.issn.1672-2337.2026.01.004
基于降维累积量和矩阵重构的相干DOA估计
Coherent DOA Estimation Based on Reduced-Dimensional Cumulants and Matrix Reconstruction
摘要
Abstract
In this paper,a direction of arrival(DOA)estimation method for multi-source coherent signals based on reduced-dimensional higher-order cumulants and low-rank matrix reconstruction is proposed to improve the performance of DOA estimation in radar systems caused by low signal-to-noise ratio(SNR),insufficient snapshot sampling data,non-Gaussian clutter interference,and multipath propagation effects in complex electromagnetic environments.Firstly,by constructing a fourth-order cumulant matrix,the array aperture is expanded to suppress Gaussian noise.Then,an effi-cient reduced-dimensional strategy is employed to reduce computational complexity.Finally,the alternating direction method of multipliers is used to solve the reconstruction problem of Toeplitz covariance matrix under low-rank con-straints,achieving high-precision localization of multi-source coherent signals in complex environments.Experimental results demonstrate that the proposed algorithm maintains excellent estimation performance for multi-source coherent signals under low SNR and limited snapshots,combining high accuracy and strong anti-interference capabilities.关键词
阵列信号处理/相干DOA估计/高阶累积量/降维变换/交替方向乘子法Key words
array signal processing/coherent direction of arrival(DOA)estimation/higher-order cumulants/reduced-dimensional transformation/alternating direction multiplier method分类
信息技术与安全科学引用本文复制引用
刘宁庄,侯志凯,符渭波,田海波..基于降维累积量和矩阵重构的相干DOA估计[J].雷达科学与技术,2026,24(1):31-41,11.基金项目
国家自然科学基金(52174149) （52174149）
陕西省重点研发计划项目(2022GY-241) （2022GY-241）
