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Exploration of Multiple Access Interference Suppression Based on Multi‐user Detection.
Author(s) -
Wu Tao,
Jing Xiaojun
Publication year - 2019
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2019.05.011
Subject(s) - computer science , interference (communication) , computer network , channel (broadcasting)
A multi‐user detection algorithm for multiple access interference suppression combined with the minimum mean squared error and an artificial fish swarm algorithm is proposed. By taking advantage of the artificial fish swarm algorithm, the proposed algorithm can quickly converge to the optimal solution. The variation in the minimum mean squared error based test results is assigned to the artificial fish swarm algorithm, which is regarded as the initial state of artificial fish. The simulation results show that the proposed algorithm has a better multi‐user capacity performance and lower bit‐error rate than the minimum mean squared error detector.

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