Signal Eigerivectors Decornpositiori and Direction of Arrival Estimation
Qing-hang Liu, Li-He Zoii · 1991
In this paper, we present a new algorithm for direction-of-arrival (DOA) estimation. Eked 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 significient improvement in performance than MUSIC at low SNR or short data.