基于稀疏信号功率迭代补偿的矢量传感器阵列DOA估计

Aiming at the problem of the existing sparse signal power iterative algorithm having lower resolution probability and estimation accuracy for targets with similar azimuth, a sparse signal power iteration compensation method was proposed to estimate direction of arrival (DOA) via vector sensor arrays. Firstly, based on the principle of sparse signal compensation and the fitting criterion for weighted covariance matrix, the objective function regarding sparse signal power and compensation weight was constructed. Secondly, the closed-form solution to sparse signal power iteration renewal expression was derived. Finally, DOA estimation was obtained through searching spectral peaks of sparse signal power. The theoretical analysis showed that the proposed algorithm can improve the resolution probability and estimation accuracy for targets with similar azimuth by compensating signal power values at discrete grid points. Simulation results showed that compared with the classical subspace algorithm and the existing sparse power iteration algorithm, the proposed algorithm has higher resolution probability and estimation accuracy for targets with similar azimuth.