Reducing peak-to-average power ratio of multicarrier modulation by Hopfield neural network

Reducing peak-to-average power ratio of multicarrier modulation by Hopfield neural network
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Hopfield神经网络降低多载波调制峰均功率比

DOI:
10.1049/el:20020854
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发表时间:
2002
影响因子:
1.1
通讯作者:
W. Jiang
W. Jiang
中科院分区:
工程技术4区
文献类型:
--
作者:
K. Yamashita;M. Ohta;W. Jiang

文献摘要

被引文献

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提出了一种降低多载波调制系统峰均功率比的新方法。将降阶问题转化为组合优化问题,并采用Hopfield神经网络(HNN)进行求解,该网络结构简单,适合于实时优化。仿真结果表明,HNN比所选择的映射方法更有效。
A novel method for the reduction of the peak-to-average power ratio of multicarrier modulation systems is proposed. The reduction problem is rewritten to a combinatorial optimisation and is solved using the Hopfield neural network (HNN), which has a simple structure and is suitable for real-time optimisation. Simulation results show that the HNN is more effective than the selected mapping method.