A novel algorithm of spatial and temporal equalization for multiuser detection with an antenna array

This paper presents a novel algorithm of spatial and temporal equalization for multiuser detection with an antenna array based on a robust subspace method and a self-adaptive step-size training technique. Our robust approach includes two procedures. In the first procedure, a robust subspace technique is utilized to reduce the high-power of additive noise and the correlation among the channels. Moreover, a cross-validation technique is applied to estimate the number of signals. In the second procedure, a self-adaptive algorithm for updating the stepsize coefficient is presented in order to identify a dynamic channel. The computer simulation results illustrate the effectiveness and performance of the proposed method.