用于CDMA干扰消除的预处理反向传播神经网络

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI:10.1109/ICE-CCN.2013.6528472

B. Geevarghese, J. Thomas, M. Anil, A. Francis

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引用次数: 1

摘要

本文试图说明预处理对扩频接收机中神经网络干扰消除误码率的影响。多址干扰是CDMA多用户检测中的主要问题之一。采用反向传播的前馈神经网络进行干扰消除。研究表明，预处理可以有效地降低误码率和复杂度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Pre-processed back propagation neural networks for CDMA interference cancellation

This paper attempts to show the effects of pre-processing in bit error rate of neural network interference cancellation in spread spectrum receivers. Multiple access interference (MAI) which is one of the primary issues in CDMA multiuser detection is combated by interference cancellers. Feed-Forward Neural Networks with back propagation is used for interference cancellers. The works shows that pre-processing can bring adequate improvement in bit error rate as well as complexity.

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来源期刊

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)

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