A DOA Estimation Algorithm from Sparse Representation Perspective for Vehicular Application

Beirui Zhang,Xiaoyou Yu,Heng Ye,Yan Zhou,Nengda Ci,Pengshuai Sun,Gaobo Yang

PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS（2016）

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摘要

In this paper, a recovery algorithm of direction-of-arrival (DOA) Estimation based on weighted l(1) 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.

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关键词

Direction-of-Arrival Estimation,Sparse Representation,Vehicle Communication

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