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PIER PIER B PIER C PIER M PIER Letters
2008-10-21
Wavelet Packet Transform-Based Least Mean Square Beamformer with Low Complexity
By
Xiaofei Zhang,

    Prof. Xiaofei Zhang

    Electronic Engineering Department

    Nanjing University of Aeronautics & Astronautics

    China

    Homepage

Ziqing Wang,

    Dr. Ziqing Wang

    Electronic Engineering Department

    Nanjing University of Aeronautics & Astronautics

    China

    Homepage

Dazhuan Xu

    Professor Dazhuan Xu

    College of Information Science and Technology

    Nanjing University of Aeronautics & Astronautics

    China

    Homepage

Progress In Electromagnetics Research, Vol. 86, 291-304, 2008
doi:10.2528/PIER08100104
Abstract
A low complexity wavelet packet transform-based least mean square (LMS) adaptive beamformer is presented in this paper. This beamformer uses wavelet packet transform as the preprocessing, reduces the signal dimension in wavelet packet domain for low complexity and denoising, and employs least mean square algorithm to implement adaptive beamformer. Theoretical analysis and simulations demonstrate that this algorithm with better beamforming performance converges faster than the conventional adaptive beamformer and the wavelet transform-based beamformer. Finally, our proposed algorithm has the low complexity, and it can be easy to implement.
Citation
Xiaofei Zhang, Ziqing Wang, and Dazhuan Xu, "Wavelet Packet Transform-Based Least Mean Square Beamformer with Low Complexity," Progress In Electromagnetics Research, Vol. 86, 291-304, 2008.
doi:10.2528/PIER08100104
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