DocumentCode
3391865
Title
A novel high-order subspace-based method for near-field source localization
Author
Wang, Kun ; Zhang, Xianda ; Zhang, Daoming
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
357
Lastpage
360
Abstract
A novel near-field source localization algorithm based on fourth-order cumulant is proposed in this paper. The array manifold matrix is estimated using subspace method at first, and then the automatically paired DOA and range parameters can be obtained using least squares estimation. The proposed method requires only one fourth-order cumulant matrix and does not need any multidimensional search or parameter pairing procedure. Simulation results are presented to validate the effectiveness of the proposed algorithm.
Keywords
direction-of-arrival estimation; least squares approximations; matrix algebra; array manifold matrix; direction of arrival; fourth-order cumulant matrix; high-order subspace-based method; least squares estimation; near-field source localization; subspace method; Arrays; Direction of arrival estimation; Estimation; Manifolds; Matrix decomposition; Signal processing algorithms; Signal to noise ratio; Fourth-order cumulant; Near-field; Source localization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5655127
Filename
5655127
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