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
Link To Document :
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