A DOA Estimation Algorithm from Sparse Representation Perspective for Vehicular Application
Beirui Zhang, Xiaoyou Yu, Heng Ye, Yan Ling Zhou, Nengda Ci, Pengshuai Sun, Gaobo Yang · 2016
In this paper, a recovery algorithm of direction-of-arrival (DOA) Estimation based on weighted 1 l minimization for vehicular applications is proposed.We construct an overcomplete basis based on the largest eigenvector of the covariance matrix, aiming at a sharp spatial spectrum that exhibits the high-precision.The theoretical analysis and simulation results demonstrate that the proposed method has an excellent performance in the aspects of accuracy.