DocumentCode
3186700
Title
An improved SVD based algorithm for bearing estimate
Author
Kong, T.S. ; Liang, D.N.
Author_Institution
Dept. of Electron. Eng., Changsha Inst. of Technol., China
fYear
1992
fDate
18-22 May 1992
Firstpage
149
Abstract
A study of the direction of arrival (DOA) matrix is presented. For the case of low signal-to-noise ratio (SNR) the standard DOA matrix usually yields poor performance. By means of the singular value decomposition (SVD) technique, with a cleaned or SNR enhanced data record, the author propose construction of the DOA matrix by the lower-rank Froebinius approximation. Two types of improved DOA matrices are given, and two improved algorithms for 2D angles of arrival are derived. Simulation results are provided
Keywords
array signal processing; parameter estimation; signal detection; 2D angles of arrival; SNR; algorithm; bearing estimate; direction of arrival matrix; lower-rank Froebinius approximation; signal-to-noise ratio; singular value decomposition; Aperture antennas; Array signal processing; Covariance matrix; Direction of arrival estimation; Narrowband; Sensor arrays; Signal generators; Signal processing algorithms; Signal resolution; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Conference_Location
Dayton, OH
Print_ISBN
0-7803-0652-X
Type
conf
DOI
10.1109/NAECON.1992.220653
Filename
220653
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