title: A hybrid multiuser detector based on MMSE and AFSA for TDRS system forward link.
abstract: 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.
authors.affiliation: School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Zhendong
authors.initials: Z
authors.lastname: Yin
authors.affiliation: School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Xu
authors.identifier: 0000-0002-8209-9192
authors.initials: X
authors.lastname: Jiang
authors.affiliation: School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Zhilu
authors.identifier: 0000-0002-3402-9093
authors.initials: Z
authors.lastname: Wu
authors.affiliation: School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Xiaohui
authors.initials: X
authors.lastname: Liu
mesh_terms: D040362:Geographic Information Systems; D008962:Models, Theoretical; D017215:Satellite Communications; D018531:Spacecraft