Title :
Wideband Adaptive Beamforming Using Linear Phase Filterbanks
Author :
Vouras, Peter G. ; Tran, Trac D.
Author_Institution :
Johns Hopkins Univ., Baltimore, MD
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
This paper describes the use of linear phase filter banks to perform wideband adaptive beamforming. The application of two types of filter banks is investigated. First, a simple discrete Fourier transform filter bank (DFTFB) is examined, and second a linear phase paraunitary filter bank (LPPUFB) designed using nonlinear optimization techniques is reviewed. For both filter banks, it is shown that computing and applying the optimal beamformer weights independently for different frequency bands yields better performance than a narrowband beamformer.
Keywords :
adaptive signal processing; channel bank filters; discrete Fourier transforms; filtering theory; linear phase filters; nonlinear programming; discrete Fourier transform filter bank; linear phase filter banks; linear phase paraunitary filter bank; nonlinear optimization; wideband adaptive beamforming; Adaptive filters; Array signal processing; Covariance matrix; Filter bank; Interference constraints; Nonlinear filters; Sensor arrays; Vectors; Wideband; Wiener filter; adaptive beamforming; linear phase filter banks; wideband;
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.355179