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Wavelet-Based Broadband Beamformers with Dynamic Subband Selection
Yung-Yi WANG Wen-Hsien FANG
Publication
IEICE TRANSACTIONS on Communications
Vol.E83-B
No.4
pp.819-826 Publication Date: 2000/04/25 Online ISSN:
DOI: Print ISSN: 0916-8516 Type of Manuscript: PAPER Category: Antenna and Propagation Keyword: adaptive beamforming, wavelet filters, generalized sidelobe cancellers, low complexity arrays,
Full Text: PDF(560.6KB)>>
Summary:
In this paper, we present a new approach for the design of partially adaptive broadband beamformers with the generalized sidelobe canceller (GSC) as an underlying structure. The approach designs the blocking matrix involved by utilizing a set of P-regular, M-band wavelet filters, whose vanishing moment property is shown to meet the requirement of a blocking matrix in the GSC structure. Furthermore, basing on the subband decomposition property of these wavelet filters, we introduce a new dynamic subband selection scheme succeeding the blocking matrix. The scheme only retains the principal subband components of the blocking matrix outputs based on a prescribed statistical hypothesis test and thus further reduces the dimension of weights in adaptive processing. As such, the overall computational complexity, which is mainly dictated by the dimension of adaptive weights, is substantially reduced. The furnished simulations show that this new approach offers comparable performance as the existing fully adaptive beamformers but with reduced computations.
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