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
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;
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
DOI :
10.1109/NAECON.1992.220653
