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 :
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