神经CDMA多用户检测器性能分析

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222) Pub Date : 2001-07-15 DOI:10.1109/IJCNN.2001.938825

Toshiyuki TANAKA

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引用次数: 2

摘要

分析了神经码分多址(CDMA)多用户检测器的性能。建立了CDMA多用户检测问题与Hopfield神经网络和玻尔兹曼机等递归神经网络的形式化对应关系，并在此基础上对神经多用户检测器的误码率进行了复制分析。基于统计神经动力学分析了神经多用户检测器的检测动态。

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Performance analysis of neural CDMA multiuser detector

We analyze the performance of neural code-division multiple-access (CDMA) multiuser detectors. Formal correspondence between the CDMA multiuser detection problem and recurrent neural networks such as the Hopfield neural network and the Boltzmann machines is established, based on which the replica analysis on the bit-error rate of the neural multiuser detectors is presented. Detection dynamics of the neural multiuser detectors is also analyzed based on statistical neurodynamics.

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IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

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