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Exploration of Multiple Access Interference Suppression Based on Multi-user Detection

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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.

Multiple access interference suppressionMinimum mean squared errorArtificial fish swarm algorithmMulti-user detection algorithmCode division multiple access

WU Tao、JING Xiaojun

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Beijing University of Posts and Telecommunications, Beijing 100876, China

2019

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN:1022-4653
年,卷(期):2019.28(4)
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