A Novel LMS Beamformer for Adaptive Antenna Array

摘要

Least Mean Square (LMS) beamforming algorithm is one of the most popular method in array signal processing due to its low complexity. The main downside of this method is low convergence rate which limits its application in many wireless communications. In this paper, we proposed a novel LMS algorithm which produces satisfactory performance within 6 iterations. We used novel structure which consists of two LMS modules, one converse speediness module and speediness module. The experimental results show that novel LMS algorithm is superior in convergence rate and has about 92.5% of improvement over classical LMS algorithm.