
Engineering Technology and Applications – Shao, Shu & Tian (Eds)
© 2014 Taylor & Francis Group, London, ISBN 978-1-138-02705-3
Adaptive beamforming technique based on neural network
Zehua Fan, Jackson Wilson & Alex Grey
Library of Huazhong University of Science & Technology, Wuhan, Hubei, China
ABSTRACT: Adaptive beamforming can achieve better SNR by varying the weights of each of
the sensors used in the array. The traditional beamforming methods cannot achieve the optimal
performance in beamforming because of the mismatch between the assumed array response and
true array response. A radial basis function neural network algorithm has been proposed