An efficient MUSIC algorithm using subspace projection

In order to improve the speed of the DOA estimation, an efficient MUSIC algorithm using subspace projection is proposed in this paper. In the algorithm, the covariance matrix, which causes high computational complexity in the subspace projection (SP) algorithm of subspace tracking field, is approximated to simplify the processing procedure. The proposed algorithm shows similar angle accuracy compared with the SP-MUSIC algorithm. However, it is much more computational efficient and needs less storages than the SP-MUSIC algorithm, since the proposed algorithm doesn´t require covariance matrix estimation and eigenvalue decomposition. Finally, simulation results are used to validate the effectiveness of the proposed algorithm.