DocumentCode
3381311
Title
Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods
Author
Tsai, Churng-Jou ; Yang, Jar-Ferr
Author_Institution
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear
1992
fDate
7-9 Oct 1992
Firstpage
370
Lastpage
373
Abstract
The authors formulate the wideband minimum variance distortionless response (MVDR) as the auto-focusing criterion. By emulation results of single-group and multi-group sources, they show that the optimal focusing angles can achieve the wideband MVDR criterion and result in minimum output power of the beamformer. The steepest descent algorithm is suggested for iteratively updating the focusing angles for beamformers to null both stationary and nonstationary interferences. For direction finding applications, the same auto-focusing procedures can be applied directly by presuming a dummy looking direction. Simulation results show that the performances of beamforming and direction finding applications are greatly improved by the proposed auto-focusing algorithm
Keywords
array signal processing; focusing; iterative methods; tracking; algorithm; auto-focusing procedures; beamforming; coherent signal-subspace methods; direction finding; minimum variance distortionless response; optimal focusing angles; steepest descent algorithm; tracking techniques; Array signal processing; Covariance matrix; Direction of arrival estimation; Frequency; Interference; Iterative algorithms; Narrowband; Power generation; Sensor arrays; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0508-6
Type
conf
DOI
10.1109/SSAP.1992.246773
Filename
246773
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