DocumentCode
2341375
Title
New cumulant matrices for DOA estimation
Author
Du, Jinxiang ; Feng, Xian ; Wang, Huigang
Author_Institution
Coll. of Marine, Northwestern Polytech. Univ., Xi´´an
fYear
2009
fDate
25-27 May 2009
Firstpage
2992
Lastpage
2994
Abstract
We address in this paper the bearing estimation problem in the presence of spatially correlated Gaussian color noise. Two fourth-order cumulant matrices are presented. Beamspace data are processed to calculate the diagonal slice matrix and the contracted quadricovariance matrix, as a result the computation can be reduced by downsizing the cumulant matrices. The estimation performance, however, can be improved. Simulation results are presented to show that the beamspace matrices have higher resolution and lower root mean square errors than their equivalent methods in the element domain.
Keywords
covariance matrices; direction-of-arrival estimation; mean square error methods; signal denoising; DOA estimation; beamspace data; beamspace matrices; contracted quadricovariance matrix; correlated Gaussian color noise; diagonal slice matrix; fourth-order cumulant matrices; root mean square errors; Colored noise; Computational modeling; Direction of arrival estimation; Educational institutions; Gaussian noise; Matrices; Root mean square; Sensor arrays; Signal resolution; Statistics; DOA; beamspace; cumulant; estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-2799-4
Electronic_ISBN
978-1-4244-2800-7
Type
conf
DOI
10.1109/ICIEA.2009.5138757
Filename
5138757
Link To Document