A Simple Adaptive Beamforming Algorithm
with
INTERFERENCE SUPRESSION
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.