雷达科学与技术2026，Vol.24Issue(3)：280-288,9.DOI:10.3969/j.issn.1672-2337.2026.03.005
阵列宽发模式下基于极大极小算法的二维DOA估计方法
Two-Dimensional DOA Estimation Method Based on Majorization-Minimization Algorithm Under Array Wide Transmission Mode
摘要
Abstract
To address the challenges of strong signal coherence,low signal-to-noise ratio,and complex calculation in two-dimensional direction of arrival(DOA)estimation under wide beam transmission mode,this paper proposes a two-dimensional DOA estimation method based on the majorization-minimization(MM)algorithm.The method is based on a uniform rectangular planar array signal model.On the basis of singular value decomposition(SVD)for dimension-ality reduction,the two-dimensional angle decoupling is achieved through the equivalent transformation of the received data,and the two-dimensional DOA estimation problem is transformed into two one-dimensional problems.An optimiza-tion model is constructed based on compressed sensing theory,and the optimization problem is solved by an alternating iterative method within the MM algorithm framework.Simulation results demonstrate that the root mean square error(RMSE)of DOA estimation in the proposed method is lower than that of the comparative algorithms,and it has the capa-bility of decoherence.It enables high-precision DOA estimation,thereby improving the parameter estimation capability of low probability of intercept(LPI)radars.关键词
低截获雷达/波达方向估计/压缩感知/极大极小算法Key words
low probability of intercept(LPI)radar/direction of arrival(DOA)estimation/compressed sensing/majorization-minimization algorithm分类
信息技术与安全科学引用本文复制引用
王嘉恒,阮铭,谢菊兰,李会勇,何子述..阵列宽发模式下基于极大极小算法的二维DOA估计方法[J].雷达科学与技术,2026,24(3):280-288,9.基金项目
国家自然科学基金(62231006) （62231006）
四川省科技厅科技计划(2023ZHJY0011) （2023ZHJY0011）
