基于人工鱼群的中继卫星多用户检测方法

doi:10.16180/j.cnki.issn1007-7820.2019.10.001

Abstract

Abstract:

With the development of space technology, future relay satellite systems need to provide code division multiple access communication services for multiple user spacecraft. Therefore, multi-user detection techniques were employed to suppress the multiple access interference. In this paper, the artificial fish swarm algorithm was introduced into the multi-user detection of the relay satellite system. By simulating the preying behavior, swarming behavior and following behavior of artificial fishes, the multiple access interference was minimized iteratively. In order to speed up the convergence speed of the artificial fish swarm algorithm, the results of decorrelating multiuser detection were employed as initial values of the artificial fishes. The results showed that the bit error rate of the artificial fish swarm algorithm based multiuser detection method could approach 10 ^-6 at the SNR of 10 dB, and its performance was better than traditional multi-user detection method in terms of bit error rate, near-far effect and user capacity.

Key words: data relay satellite, multiple access communication, interference suppression, artificial fish swarm algorithm, near-far effect, bit error rate

CLC Number:

TN927+.23

CHEN Xiaoguang,WU Zhilu,JIANG Xu,ZHANG Xiaojun. Artificial Fish Swarm Algorithm Based on Multiuser Detection for Data Relay Satellite System[J].Electronic Science and Technology, 2019, 32(10): 1-6.

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References 17

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Artificial Fish Swarm Algorithm Based on Multiuser Detection for Data Relay Satellite System

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