DocumentCode
3348584
Title
Partially adaptive broadband beamforming with a subband-selective transformation matrix
Author
Liu, Wei ; Weiss, Stephan ; Hanzo, Lajos
Author_Institution
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
fYear
2002
fDate
4-6 Aug. 2002
Firstpage
43
Lastpage
47
Abstract
A partially adaptive generalized sidelobe canceller (GSC) with a novel spatially/spectrally subband-selective transformation matrix is proposed. The row vectors of this matrix constitute a series of bandpass filters, which separate the blocking matrix outputs into components of different DOAs and frequencies. This results in bandlimited spectra of its outputs, which is further exploited by subband decomposition and discarding the low-pass subbands appropriately prior to running independent unconstrained adaptive filters in subbands. By these steps the computational complexity of the system is greatly reduced. Additionally, a faster convergence speed is achieved by joint spatial and spectral decorrelation.
Keywords
adaptive filters; array signal processing; band-pass filters; computational complexity; convergence of numerical methods; decorrelation; direction-of-arrival estimation; filtering theory; matrix algebra; spectral analysis; DOA; bandlimited spectra; bandpass filters; blocking matrix outputs; computational complexity reduction; convergence speed; frequencies; low-pass subbands; partially adaptive broadband beamforming; partially adaptive generalized sidelobe canceller; row vectors; spatial decor-relation; spectral decorrelation; subband decomposition; subband-selective transformation matrix; unconstrained adaptive filters; Adaptive arrays; Adaptive filters; Array signal processing; Band pass filters; Convergence; Covariance matrix; Decorrelation; Frequency; Matrix decomposition; Sensor arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002
Print_ISBN
0-7803-7551-3
Type
conf
DOI
10.1109/SAM.2002.1190996
Filename
1190996
Link To Document