RLS-based blind adaptive beamforming algorithm for antenna array in CDMA systems

Abstract

In this paper, the maximum signal-to-(interference plus noise) ratio (MSINR) beamforming problem in antenna array CDMA systems is considered. We reinterpret a modified MSINR criterion as an unconstrained scalar cost function. By applying recursive least-squares (RLS) to minimize the cost function, we derive a novel blind adaptive beamforming algorithm to estimate the beamforming vector which optimally combines the desired signal contributions from different antenna elements while suppressing noise and interference. A rigorous analysis of the convergence properties of the algorithm by using the stochastic approximation theory is given. Simulation results are presented to show the performance of the proposed algorithm.