| 混沌背景下微弱信号时域参数检测的研究 |
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| 引用本文： | 李小玲,袁继敏,银星,古天祥.混沌背景下微弱信号时域参数检测的研究[J].电子科技大学学报(社会科学版),2009(4). |
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| 作者姓名： | 李小玲 袁继敏 银星 古天祥 |
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| 作者单位： | 攀枝花学院电信学院;电子科技大学自动化学院;攀枝花学院计算机学院; |
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| 基金项目： | 国家自然科学基金(60772145) |
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| 摘 要： | 数字示波器不能测量混沌背景中的微弱信号,该文结合混沌和神经网络构建检测模型实现该功能。运用混沌时间序列的相空间重构理论计算嵌入维数作为神经网络的输入维来构建网络模型,并采用单步预测方法,在混沌状态下直接测量混沌背景中微弱信号,获取微弱信号的波形。该方法能够测量微弱信号的时域参数,测量范围宽,逼近目标精度高,计算量小。实验结果证明了该方法具有很强的实用性。
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| 关 键 词： | 混沌 数字示波器 测量 时空神经网络 微弱信号 |
Time-Domain Parameter Detection of Weak Signals in the Chaotic Background |
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| LI Xiao-ling,YUAN Ji-min,YIN Xing, GU Tian-xiang.Time-Domain Parameter Detection of Weak Signals in the Chaotic Background[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2009(4). |
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| Authors: | LI Xiao-ling YUAN Ji-min YIN Xing GU Tian-xiang |
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| Institution: | 1. College of Information and Electrical Engineering;Panzhihua University Panzhihua Sichuan;2. College of Computer;Panzhihua University Panzhihua Sichuan 617000;3. School of Automation Engineering;University of Electronic Science and Technology of China Chengdu 610054 |
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| Abstract: | Digital oscilloscope can not measure week singal in chaotic background. A method using Elman neural network is described to achieve signal parameter detection in chaotic background. With the phase space reconstruction theory on time series, the embedded dimension is calculated and used as the in-put dimension of a neural network considered. By adopting the single-step prediction method, the weak signals are detected directly and their waveforms can be gained as well in the chaotic state. Result shows that t... |
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| Keywords: | chaos digital storage oscilloscope(DSO) measure network networks weak signal |
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