Neural Network Detection for MC-CDMA Signals in Multipath Fading Channels
نویسندگان
چکیده
The enhancement of Hopfield Neural Network (HNN) multiuser detector for Multicarrier CodeDivision Multiple-Access (MC-CDMA) signals in a multipath fading channel (MPF) is investigated. The previous design of HNN fails to remove Multiple-Access Interference (MAI) in a MPF channel because it is designed to work in a Gaussian channel. In this paper, we have designed a new HNN multiuser detector that resolves MAI in the presence of MPF and AWGN. We have shown that by properly choosing HNN parameters from the channel state information (CSI), the HNN is empowered to cancel MAI in a MPF channel.
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تاریخ انتشار 2002