IMP-Based Fast Adaptive Beamforming Algorithms

This paper is concerned with new fast adaptive beamforming algorithms which are based on the internal model principle, to deal with fast fading environment to track the desired signal changes and suppress the interferences. The LMS and RLS algorithms for constructing nulls are derived by incorporating an AR model into the weight dynamics, and then can track fast fading environment. The convergence analysis of mean and mean-square error of the weight vector are also investigated and stability condition is clarified. Numerical simulation results show that the proposed algorithms can improve tracking ability and BER performance in DS-CDMA systems