DOA estimation algorithm for high maneuvering scenarios Based on improved covariance matrix
Zheng‐Tang Liu, Yan-jie CHENG, Hui Ma, Wen Yang, Huimin Gao, Dongdong Zhou · 2016
Aiming at the problem that signal snapshot data of the target is sparse and conventional algorithm is difficult to obtain the signal subspace ,a new DOA decorrelation algorithm based on improved covariance matrix is proposed.Firstly, the received single snapshot data is pretreated by cross-correlation , then the equivalent covariance matrix is reconstructed by using the data obtained from the pretreatment, and then the DOA estimation of coherent signals is completed based on the MUSIC algorithm.Without losing the aperture of the array ,the proposed algorithm ensures the accuracy of the spectral estimation .Simulation results demonstrate that the proposed algorithm can achieve better performance than that of traditional method in high-speed mobile scenarios.