[1]冯迪 于舒娟 张昀.一种改进激活函数的Hopfield盲检测算法[J].计算机技术与发展,2012,(12):207-210.
　FENG Di,YU Shu-juan,ZHANG Yun.Blind Detection Algorithm of Hopfield Neural Network With Improved Activation Function[J].,2012,(12):207-210.
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一种改进激活函数的Hopfield盲检测算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年12期
页码:
207-210
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Blind Detection Algorithm of Hopfield Neural Network With Improved Activation Function
文章编号:
1673-629X（2012）12-0207-04
作者:
冯迪 于舒娟 张昀
南京邮电大学电子科学与工程学院
Author(s):
FENG Di ; YU Shu-juan;  ZHANG Yun
College of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications
关键词:
盲检测; Hopfield神经网络; 抗干扰
Keywords:
blind detection; Hopfield neural network; anti-jamming
分类号:
TP301.6
文献标志码:
A
摘要:
利用连续型Hopdfield神经网络实现无线通信信号的盲检测是一种较为有效的方法，但是其抗干扰性能较差，在低信噪比等复杂环境下算法的误码率过高。为了解决连续型Hopfield盲检测算法的不足，文中对传统的激活函数进行了改进，并给出了一种新的激活函数，新激活函数有效地降低了算法对噪声的敏感度，极大地提高了算法的抗干扰能力。仿真表明，在低信噪比、大数据量等复杂环境下，改进后的算法表现出了较强的抗干扰能力和稳健性，性能得到了显著的提高
Abstract:
It＇s more effective to use continuous Hopficid neural network to blindly detect wireless communication signal,but its anti jamming performance is poor and the algorithm bit error rate is a little high in complex environments, such as in low SNR environment. To conquer the above shortcoming ,a new kind of activation function is put forward in this thesis,which can effectively reduce the algorithm sensitivity to noise and greatly improve its anti-jamming capability. Simulation results demonstrate that the improved algorithm has better anti-jamming capability and robustness in complex environments, like low SNR or massive date environment. The improved algorithm shows strong anti-interference ability and robustness ,performance has been improved significantly

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备注/Memo

备注/Memo:
国家自然科学基金资助项目（60772060）冯迪（1988-），男，江苏苏州人，硕士研究生，研究方向为新一代无线通信与通信信号处理；于舒娟，副教授，硕士研究生导师，研究方向为现代通信中的信号处理和智能信息处理技术
更新日期/Last Update: 1900-01-01