Multiuser detection using simulated annealing Hopfield neural network for DS-UWB systems

Yung-Cheng Yao, Chia-Hsin Cheng, Guo-Jun Wen, J. Wen
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引用次数: 6

Abstract

The authors introduced the simulated annealing Hopfield neural network and applied it to multiuser detection in direct sequence-ultra-wideband (DS-UWB) systems in this paper. The conventional HNN algorithm may converge easily to local minimum. In order to solve this problem, the authors proposed modified HNN based on simulated annealing (SA) method which can avoid local minimum problem. From simulation results, the HNN detector based on SA method provided an attractive performance. The HNN detector based on SA method could be implemented easily on hardware circuit in the multiuser DS-UWB systems.
基于模拟退火Hopfield神经网络的DS-UWB系统多用户检测
本文介绍了模拟退火Hopfield神经网络,并将其应用于直接序列-超宽带(DS-UWB)系统中的多用户检测。传统的HNN算法容易收敛到局部最小值。为了解决这一问题,作者提出了基于模拟退火(SA)方法的改进HNN算法,该算法可以避免局部最小值问题。仿真结果表明,基于SA方法的HNN检测器具有良好的性能。在多用户DS-UWB系统中,基于SA方法的HNN检测器易于在硬件电路上实现。
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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