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A Simple Adaptive Beamforming Algorithm with


K. Meena alias Jeyanthi1,  Dr. A. P. Kabilan2

1Department of Electronics and communication, PSNACET, Dindigul
2Principal, Chettinad colledge of engineering & technology, Karur

Received June 12, 2009

Modeling and simulation of uniform linear array using Matrix Inversion-Normalized Least Mean Square (MI-NLMS) adaptive beam forming with minimum Bit Error Rate (BER) is developed  for smart antenna applications. We have modeled a linear array of antennas for 20°Half Power Beam Width (HPBW) and obtained the beam formation with digital modulation of 16 point Quadrature Amplitude Modulation (QAM).This modulation technique is used for the systems like CDMA,Wi-Fi (IEEE802.11) and WiMAX (IEEE 802.16).The algorithm have  the advantage of both block adaptation and sample by sample techniques which shows  that the performance of block adaptation and normalization of Least Mean Square (LMS) improves the system capacity and minimize bit error rate (BER) upto 10-4 for the signal to noise ratio of 13 dB’s. The Quadrature amplitude modulation (QAM) allows us to send more bits per symbol to achieve higher throughput and to overcome fading and other interferences. The simulation is done in MATLAB.