Blind Multiuser Detector Based on Reduced Rank Subspace and Least Square Constant Modulus Algorithm

The blind multiuser detector based on reduced rank subspace and least square constant modulus algorithm (LSCM_RSUB) is proposed. Combining the global convergence and stability of least square constant modulus algorithm (LSCMA) and the good performance of subspace technology in multiuser detection (MUD), LSCM_RSUB shows good performances. Using the subspace-tracking algorithm, the optimal reduced rank subspace is obtained. The simulation results show that the LSCM_RSUB achieves better performances than LSCMA and LSCM_SUB