Maximum Likelihood DOA Estimation Method Based on Matrix Completion in Non-Uniform Noise Environment

For the estimation of the direction of reach in non-uniform noise environment, the method is proposed by applying Matrix Completion theory (Matrix Completion, MC) combined with the Improved Monarch Butterfly Optimization algorithm based ML (ML-IMBO) method, In this paper, a matrix completion based ML-IMBO (MML-IMBO) estimation method for maximum likelihood DOA under heterogeneous noise environment is proposed. Experimental simulation results show that the proposed MML-IMBO algorithm can effectively suppress the influence of non-uniform noise and has good performance in DOA estimation.