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Multiuser Detection Using Hopfield Neural Network Algorithm in Multi-rate CDMA Communications  

주양익 (고려대학교 대학원 전자공학과)
김용석 (고려대학교 대학원 전자공학과)
고한석 (고려대학교 대학원 전자공학과)
차균현 (고려대학교 대학원 전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.3B, 2002 , pp. 188-195 More about this Journal
Abstract
In this paper, we consider efficient multiuser receiver structures using Hopfield neural network algorithm focused to construct a synchronous multi-rate code division multiple access (CDMA) system. Although the optimum receiver for multiuser detection can be realized attaining the best BER performance, it is too complex for practical implementation. Therefore, we propose near-optimal receivers of relatively low computationally complex multiuser detection structures for realizing multi-rate CDMA system and their performances are compared with conventional matched filter and other prominent multi-rate multiuser detectors, Computer simulations show that the Hopfield neural network based multiuser receiver achieves substantially better BER performance in Rayleigh fading environments.
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