A low complexity MMSE multiuser detector for DS-CDMA

2001 ◽  
Author(s):  
Seema Sud ◽  
Wilbur Myrick ◽  
Paula Cifuentes ◽  
J.Scott Goldstein ◽  
Michael D. Zoltowski
Keyword(s):  
Low Complexity ◽  
Multiuser Detector ◽  
Mmse Multiuser Detector

scholarly journals A Hybrid Multiuser Detector Based on MMSE and AFSA for TDRS System Forward Link

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zhendong Yin ◽  
Xu Jiang ◽  
Zhilu Wu ◽  
Xiaohui Liu
Keyword(s):  
Global Convergence ◽  
Multiuser Detection ◽  
Minimum Mean Square Error ◽  
Low Complexity ◽  
System Capacity ◽  
Forward Link ◽  
Artificial Fish Swarm Algorithm ◽  
Multiuser Detector ◽  
Error Ratio ◽  
Bit Error Ratio

This study mainly focuses on multiuser detection in tracking and data relay satellite (TDRS) system forward link. Minimum mean square error (MMSE) is a low complexity multiuser detection method, but MMSE detector cannot achieve satisfactory bit error ratio and near-far resistance, whereas artificial fish swarm algorithm (AFSA) is expert in optimization and it can realize the global convergence efficiently. Therefore, a hybrid multiuser detector based on MMSE and AFSA (MMSE-AFSA) is proposed in this paper. The result of MMSE and its modified formations are used as the initial values of artificial fishes to accelerate the speed of global convergence and reduce the iteration times for AFSA. The simulation results show that the bit error ratio and near-far resistance performances of the proposed detector are much better, compared with MF, DEC, and MMSE, and are quite close to OMD. Furthermore, the proposed MMSE-AFSA detector also has a large system capacity.

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