Signal eigenvectors decomposition and direction of arrival estimation

Abstract

Presents a new algorithm for direction-of-arrival (DOA) estimation. Based on the unique decomposition of large eigenvectors of array covariance matrix, an iterative algorithm is proposed, which is valid in any case whether the sources are coherent or not. Simulations showed that the new approach has a significant improvement in performance over MUSIC at low SNR or short data.<>