A novel neural network blind multi-user detection algorithm

ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications(2007)

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摘要
Blind multi-user detection (BMUD) is a key technology in CDMA to improve communication quality. This paper introduced FNN (feed-forward neural network) to BMUD algorithm. It combined FNN with CMA algorithm, constructed a cost function, optimized FNN weights and parameters by LMS and then realized BMUD. Compared with traditional CMA blind multi-user algorithm, simulation results indicate new algorithm improves the performances in bit-error ratio, following ability and so on. © 2007 IEEE.
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关键词
neural networks,cdma,industrial electronics,bit error ratio,feedforward neural network,code division multiple access
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