M.T. Islam and N. Misran (Malaysia)
Smart antenna system, beamforming algorithm, direction
of arrival (DOA), uniform linear array (ULA), least mean
square (LMS), and normalized LMS (NLMS).
A novel fast adaptive matrix inversion normalized least
mean square (MI-NLMS) beamforming algorithm for
smart antenna system is analyzed in this paper. The MI
NLMS adaptive beamforming algorithm 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; the block
adaptive and sample by sample technique. The algorithm
provides faster convergence speed and less complexity.
Simulation results using MATLAB®
6.5 showed that the
less complexity MI-NLMS yields 10 dB improvements in
interference suppression towards the interferer at 90° and
converge from the initial iteration. Simulation results in
various signal environments are also presented to show
the performance of the proposed algorithm.