Title :
Low-complexity ESPRIT method for direction finding
Author :
Huang, Lei ; Wu, Shunjun ; Zhang, Linrang
Author_Institution :
Nat. Key Lab for Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
A low-complexity ESPRIT method for direction-of-arrival (DOA) estimation is proposed in this paper. Unlike the conventional subspace based methods for DOA estimation, the proposed method only needs the training data of one signal to perform the forward recursions of the multi-stage Wiener filter (MSWF), does not involve the estimate of the covariance matrix or its eigendecomposition. Thus, the proposed method is computationally advantageous. Numerical results are given to illustrate the performance of the proposed method.
Keywords :
Wiener filters; direction-of-arrival estimation; recursive estimation; DOA estimation; direction finding; direction-of-arrival estimation; forward recursions; low-complexity ESPRIT method; multi-stage Wiener filter; training data; Background noise; Computational complexity; Covariance matrix; Direction of arrival estimation; Geophysics computing; Multiple signal classification; Recursive estimation; Rockets; Sensor arrays; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1416162
