阵列宽发模式下基于极大极小算法的二维DOA估计方法OA

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.