Research Article 
MI-NLMS Adaptive Beamforming Algorithm with Tracking Ability
M. Tariqul Islam and N. Misran
Journal of Applied Sciences, 2009, 9(12), 2335-2339.
Abstract
In this study, a Matrix Inversion Normalized Least Mean Square (MI-NLMS) adaptive beamforming algorithm is described with tracking. The MI-NLMS was developed by combining the Sample Matrix Inversion (SMI) and the Normalized Least Mean Square (NLMS) algorithms taking the individual good aspects of both algorithms. Simulation results showed that the improvement in Bit Error Rate (BER) performances is proportional to the number of antenna elements employed in the antenna array. The MI-NLMS algorithm demonstrates an outstanding tracking ability with respect to LMS algorithm in the various signal environments.
ASCI-ID: 35-3078
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