Title :
Partially adaptive beamformers via wavelet-based subband decomposition
Author :
Fang, Wen-Hsien ; Hung, He-Mo
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
In this paper, we present a partially adaptive beamformer with the generalized sidelobe canceller (GSC) as the underlying structure. The new scheme carries out both the spatio and temporal subband decomposition of the output of the blocking matrix via a set of wavelet filters. Furthermore, in light of the fact that the input signals in general occupy only a portion of the spatial or temporal subbands, we also truncate some insignificant spatio-temporal subbands to reduce the overall complexity. The furnished simulations show that the new scheme can achieve satisfactory performance, but with reduced computations and faster convergence characteristics compared with previous works.
Keywords :
adaptive filters; array signal processing; matrix algebra; wavelet transforms; blocking matrix; generalized sidelobe canceller; partially adaptive beamformers; spatio subband decomposition; temporal subband decomposition; wavelet filters; wavelet-based subband decomposition; Adaptive arrays; Adaptive filters; Computational modeling; Convergence; Filter bank; Interference; Matrix decomposition; Sensor arrays; Spatial resolution; Wireless communication;
Conference_Titel :
Vehicular Technology Conference, 2003. VTC 2003-Spring. The 57th IEEE Semiannual
Print_ISBN :
0-7803-7757-5
DOI :
10.1109/VETECS.2003.1207611