Title :
Blind Multiuser Detector Based on Reduced Rank Subspace and Least Square Constant Modulus Algorithm
Author :
Dong, Enqing ; Zhu, Caihua ; Evans, Loretta
Author_Institution :
Sch. of Electron. & Inf. Eng., Soochow Univ., Suzhou
Abstract :
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
Keywords :
least squares approximations; multiuser detection; stability; blind multiuser detector; global convergence; least square constant modulus algorithm; multiuser detection; reduced rank subspace; subspace-tracking algorithm; Active matrix technology; Computational complexity; Computational modeling; Detectors; Interference constraints; Least squares methods; Multiaccess communication; Multiple access interference; Multiuser detection; Stability;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345789
