The research of adaptive beam forming algorithm based on QPSO and antenna array

Abstract

An adaptive beam forming algorithm with antenna array model based on quantum-behaved particle swarm optimization (QPSO) is proposed for improving existent problems of limited beam modulation, unsatisfactory side lobe suppression and poor adaptability. By adjusting beam direction with matrix-weighting, optimizing initial phase and radius of the antenna array, and by tracking user intelligently with amplify and forward (AF) technology accordingly, better suppressing interference and economizing energy can be realized to effectively increase the received power and make use of antenna array for improving practical application. The simulation results of MATLAB show that the gain rising about 10dB and interference declining about 3.75dB at the direction of main lobe can be achieved.