MODIFIED BLIND BEAMFORMING ALGORITHM FOR SMART ANTENNA SYSTEM

Abstract

Intelligent antennas take advantage of both antenna and propagation technologies. They have the potential to reduce multipath interference, increase signal to noise ratio, and introduce frequency reuse within a confined environment. Several challenges remain however in the growth of intelligent antennas; one of these is the development of new beamforming algorithm for the best use of the received signal. This study focuses on the development and the application of a new simple matrix inversion normalized constant modulus algorithm (SMI-NCMA) for smart antennas. The SMI-NCMA which combines the individual good aspects of Sample Matrix Inversion (SMI) and the Normalized Constant Modulus algorithms (NCMA) is described. Simulation results show that less complexity SMI-NCMA improves the interference suppression and gain enhancement over classical NCMA, converges from the initial iteration and achieves BER (bite error rate) improvements for cochannel interference.