基于原子范数的非均匀阵列到达角估计OA北大核心CSTPCD

Antenna arrays are crucial in radar systems.Non-uniform arrays can reduce the use of antenna elements and bring higher degrees of freedom.Due to the irregular arrangement of array elements,non-uniform arrays have difficulties in direc-tion of arrival(DOA)and spatial spectrum calculation,which are difficult to meet the needs of high-precision and fast DOA estima-tion in radar target tracking and acoustic source estimation.In view of the above,a parallel gridless DOA estimation algorithm based on Circle chaotic map is proposed on the basis of atomic norm ℓ0.This algorithm performs group optimizing while processing the objective function problem in parallel.An adaptive strategy is introduced for model elite learning and state evaluation.And then,mutation operators are added to find out the global optimal solution,so as to realize fast DOA estimation of non-uniform array signals.Simulation experiments show that the proposed algorithm can obtain a smaller root mean square error(RMSE),and achieve more accurate angle estimation and less computational complexity in comparison with the existing common DOA estimation algorithms.