| 离散Hopfield实现多值信号盲检测 |
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| 引用本文： | 张昀,张志涌.离散Hopfield实现多值信号盲检测[J].南京邮电大学学报(自然科学版),2010,30(2). |
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| 作者姓名： | 张昀 张志涌 |
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| 作者单位： | 1. 南京邮电大学,通信与信息工程学院,江苏,南京,210003
2. 南京邮电大学,自动化学院,江苏,南京,210046 |
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| 基金项目： | 国家自然科学基金(60772060);;南京邮电大学科研基金(NY207056)资助项目 |
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| 摘 要： | 传统神经网络算法局限于二值神经网络,无法解决多值信号盲检测问题。提出了基于离散Hopfield网络直接盲检测多值信号的两种算法,构造了4电平的离散激活函数。本算法不依赖统计量,建立直接盲检测发送信号的优化性能函数,利用离散Hopfield网络直接盲检测多值信号。给出新的适用于多值离散Hopfield神经网络的能量函数和网络权矩阵,理论证明该网络具有很好的稳定性。仿真结果表明本算法能快速收敛到真平衡点,盲检测效果好,适用于随机信道。
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| 关 键 词： | 离散Hopfield神经网络 盲检测 多值信号 |
Blind Multi-value Signal Detection with Discrete Hopfield Network |
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| ZHANG Yun,ZHANG Zhi-Yong.Blind Multi-value Signal Detection with Discrete Hopfield Network[J].Journal of Nanjing University of Posts and Telecommunications,2010,30(2). |
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| Authors: | ZHANG Yun ZHANG Zhi-Yong |
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| Institution: | 1.College of Telecommunications & Information Engineering/a>;Nanjing University of Posts and Telecommunications/a>;Nanjing 210003/a>;China 2.College of Automation/a>;Nanjing 210046/a>;China |
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| Abstract: | The traditional neural network algorithms are limited to two-state neurons and unable to solve the problem of blind multi-value signal detection.Two new algorithms based on discrete Hopfield network(DHNN) are proposed to blindly detect multi-value signals.A discrete 4-level signum-type activation function is constructed.Optimization performance function is constructed to blindly detect signals directly,which does not rely on the second or higher order statistics of the received signals.New weight matrixes a... |
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