Title :
An Algorithm for 2-D DOA Source Parameters Estimate Based on Multistage Wiener Filters
Author :
Shi, Yu ; Wang, Shuxun ; Huang, Zhiqiang
Author_Institution :
Coll. of Commun. Eng., Jilin Univ., Changchun
Abstract :
A method for 2-dimension DOA source parameter estimation based on MSWF (multistage Wiener filters) is proposed in this paper contrasted to the computational complexity increasing in MUSIC algorithm. The presented method does not require the formation of the covariance matrix and its eigen decomposition or singular value decomposition, and it can estimate azimuths, elevations and the numbers of the source at the same time, thereby having the advantage in precision and computational complexity. So the advantage of presented method is evidently especially having more numbers of arrays and snapshots. Some computer simulation results are provided to illustrate the performance of the algorithm
Keywords :
Wiener filters; array signal processing; computational complexity; covariance matrices; direction-of-arrival estimation; signal classification; singular value decomposition; 2-D DOA source parameter estimation; MSWF; MUSIC algorithm; computational complexity; covariance matrix; direction-of-arrival analysis; eigen decomposition; multiple signal classification; multistage Wiener filter; sensor arrays; singular value decomposition; snapshots; Azimuth; Computational complexity; Covariance matrix; Direction of arrival estimation; Multiple signal classification; Parameter estimation; Planar arrays; Sensor arrays; Singular value decomposition; Wiener filter;
Conference_Titel :
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7803-9584-0
Electronic_ISBN :
0-7803-9585-9
DOI :
10.1109/ICCCAS.2006.284662
