DocumentCode
2545455
Title
An approach to adaptive beam-forming for wide-band systems using a subband decomposition
Author
Raz, Gil M.
Author_Institution
Lincoln Lab., MIT, Lexington, MA, USA
fYear
2000
fDate
2000
Firstpage
300
Lastpage
305
Abstract
The purpose of this work is to introduce two variations of an approach to adaptive beam-forming for wide-band sensor array systems using a subband decomposition. Subband decomposition facilitates a computational complexity efficient approach to the adaptive beam-forming problem. We derive optimal adaptive weights in the subband domain using two optimality criteria: (a) maximum SINR, and (b) minimum MSE. It is shown that, unlike the narrow-band case where these criteria yield the same weights up to an overall multiplicative constant, here the two criteria result in different adaptive weights. Explicit conditions for this approach are given. Further, an approach for avoiding spatial mismatch errors is shown
Keywords
array signal processing; channel bank filters; computational complexity; filtering theory; mean square error methods; noise; optimisation; adaptive beamforming; analysis filters; computational complexity; filter bank; maximum SINR; minimum MSE; optimal adaptive weights; optimality criteria; spatial mismatch error avoidance; subband decomposition; subband domain; synthesis filters; wideband sensor array systems; Adaptive arrays; Computational complexity; Covariance matrix; Filter bank; Gas insulated transmission lines; Narrowband; Sensor arrays; Sensor systems; Signal to noise ratio; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Conference_Location
Cambridge, MA
Print_ISBN
0-7803-6339-6
Type
conf
DOI
10.1109/SAM.2000.878018
Filename
878018
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