Title :
An approach to adaptive beam-forming for wide-band systems using a subband decomposition
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
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;
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
DOI :
10.1109/SAM.2000.878018