Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Digital Beamforming in Wireless Communications
Digital Beamforming in Wireless Communications
Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications
Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications
The performance of matched-field beamformers with Mediterraneanvertical array data
IEEE Transactions on Signal Processing
Adaptive minimum bit-error rate beamforming
IEEE Transactions on Wireless Communications
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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.