DocumentCode :
2213511
Title :
Space-Time Matrix Method for Joint Frequency and 2-D DOA Estimation
Author :
Du, Ruiyan ; Wang, Jinkuan ; Liu, Fulai
Author_Institution :
Eng. Optimization & Smart Antenna Inst., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
671
Lastpage :
674
Abstract :
High-resolution parameter estimation techniques have recently been applied to jointly estimate multiple signal parameters. In this paper, we consider the joint frequency and 2-D DOA estimation problem. We define a novel space-time matrix which includes the information of incident frequencies and 2-D DOAs. The joint frequency and 2-D DOA estimation method used the defined space-time matrix is named as space-time matrix method. Making using of the proposed method, the frequencies and incident 2-D DOAs can be estimated by the eigenvalues and corresponding eigenvectors of the defined space-time matrix, respectively. So, the presented method can automatically determined the paring of the estimated frequencies and 2-D DOA by the relationship between eigenvalues and eigenvectors. Compared with the previous work, the space-time matrix method can provide better performance with substantially reduced computational complexity. The performances of some relevant algorithms are compared via simulations, and the effectiveness of the proposed method is verified.
Keywords :
computational complexity; direction-of-arrival estimation; eigenvalues and eigenfunctions; frequency estimation; 2D DOA estimation; computational complexity; eigenvalues; eigenvectors; frequency estimation; multiple signal parameters; parameter estimation; space-time matrix method; Computational complexity; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Frequency estimation; Intelligent transportation systems; Matrix decomposition; Parameter estimation; Two dimensional displays; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.1079
Filename :
5454765
Link To Document :
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