Abstract:Based on CCIPCA algorithm in pattern recognition, a low complexity online Music method is presented firstly. It does not need to form the sample covariance matrix or compute its eigenvectors and the estimation of signal subspace begins after the first snap being received, this means the subspace estimation and the data receiving is simultaneous, and the current snap is the only data need to be stored. Then, the data is used repetitiously to improve subspace’s estimation performance when few snap is available. Finally, experiments based simulated data demonstrate the efficiency of the presented algorithm.
曹向海, 刘宏伟, 吴顺君. 基于在线Music算法的DOA估计[J]. 电子与信息学报, 2008, 30(11): 2658-2661 .
Cao Xiang-Hai, Liu Hong-Wei, Wu Shun-Jun. DOA Estimation Based on Online Music Algorithm. , 2008, 30(11): 2658-2661 .