A Hybrid Multiuser Detector Based on MMSE and AFSA for TDRS System Forward Link
Joint Authors
Yin, Zhendong
Liu, Xiaohui
Wu, Zhilu
Jiang, Xu
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-22
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Yin, Zhendong& Jiang, Xu& Wu, Zhilu& Liu, Xiaohui. 2014. A Hybrid Multiuser Detector Based on MMSE and AFSA for TDRS System Forward Link. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050377
Modern Language Association (MLA)
Yin, Zhendong…[et al.]. A Hybrid Multiuser Detector Based on MMSE and AFSA for TDRS System Forward Link. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1050377
American Medical Association (AMA)
Yin, Zhendong& Jiang, Xu& Wu, Zhilu& Liu, Xiaohui. A Hybrid Multiuser Detector Based on MMSE and AFSA for TDRS System Forward Link. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050377
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050377