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

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3 Author(s)
Enqing Dong ; Sch. of Electron. & Inf. Eng., Soochow Univ., Suzhou ; Caihua Zhu ; Loretta Evans

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

Published in:
Signal Processing, 2006 8th International Conference on  (Volume:3 )

Date of Conference: 16-20 2006

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