基于神经网络的具有鲁棒近远电阻的CDMA检测器

D.C. Chen, B. Sheu, W. Fang
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引用次数: 1

摘要

在码分多址(CDMA)技术中,频谱的高效利用和抗干扰能力变得越来越重要。然而,固有的近距离问题是一个障碍。虽然有意的功率控制算法可以部分解决这个问题,但成本很高。本文提出了一种基于神经网络的CDMA信号检测器。通过适当的阵列处理和硬件退火技术的应用,最优多用户探测器(OMD)的VLSI实现是合适的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A neural network based CDMA detector with robust near-far resistance
In code division multiple access (CDMA), high efficiency for spectrum usage and robust jamming resistance have been increasingly important. However the inherent near-far problem is an impediment. Although deliberate power control algorithms can partially solve this problem, the cost is high. In this paper, a compact neural network based detector for CDMA is proposed. By proper array processing and applying hardware annealing technique, the VLSI implementation of optimal multiuser detector (OMD) is suitable.
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