OPTIMALLY WEIGHTED ESPRIT FOR DIRECTION ESTIMATION

被引:6
作者
ERIKSSON, A
STOICA, P
机构
[1] Systems and Control Group, Uppsala University, S-75103 Uppsala
关键词
ARRAY PROCESSING; DIRECTION ESTIMATION; WEIGHTED ESPRIT METHODS; OPTIMALLY WEIGHTING; STATISTICAL ANALYSIS; MARKOV THEORY;
D O I
10.1016/0165-1684(94)90141-4
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The Markov theory for solving perturbed systems of linear equations is applied to the ESPRIT method for direction estimation in array signal processing. The Markov-based ESPRIT estimates of the unknown directions are shown to be significantly more accurate than the commonly used least-squares ESPRIT estimates.
引用
收藏
页码:223 / 229
页数:7
相关论文
共 9 条
[1]  
Kaveh, Barabell, The statistical performance of the MUSIC and the minimum-norm algorithms in resolving plane waves in noise, IEEE Trans. Acoust. Speech Signal Process., 34 ASSP, 2, pp. 331-341, (1986)
[2]  
Roy, Kailath, ESPRIT - Estimation of signal parameters via rotational invariance techniques, IEEE Trans. Acoust. Speech Signal Process., 37 ASSP, 7, pp. 984-995, (1989)
[3]  
Roy, Paulraj, Kailath, ESPRIT - A subspace rotation approach to estimation of parameters of cisoids in noise, IEEE Trans. Acoust. Speech Signal Process., 34 ASSP, 5, pp. 1340-1342, (1986)
[4]  
Soderstrom, Stoica, System Identification, (1989)
[5]  
Stewart, Introduction to Matrix Computations, (1973)
[6]  
Stoica, Nehorai, MUSIC, maximum likelihood, and Cramér-Rao bound, IEEE Trans. Acoust. Speech Signal Process., 37 ASSP, 5, pp. 720-741, (1989)
[7]  
Stoica, Nehorai, Performance study of conditional and unconditional direction-of-arrival estimation, IEEE Trans. Signal Processing, 38 SP, 10, pp. 1783-1795, (1990)
[8]  
Stoica, Nehorai, Performance comparison of subspace rotation and MUSIC methods for direction estimation, IEEE Trans. Signal Processing, 39 SP, 2, pp. 446-453, (1991)
[9]  
Stoica, Soderstrom, On minimum-variance complex-valued estimators, Technical Report UPTEC 91060R, (1991)