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

Volume

3

fYear

2006

fDate

16-20 2006

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.345789

Filename

4129241