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基于广义互相关与混沌序列预测集成算法的微瞬态电磁辐射信号检测方法

张悦 刘尚合 刘卫东

张悦, 刘尚合, 刘卫东. 基于广义互相关与混沌序列预测集成算法的微瞬态电磁辐射信号检测方法[J]. 电子与信息学报, 2015, 37(11): 2769-2775. doi: 10.11999/JEIT 150306
引用本文: 张悦, 刘尚合, 刘卫东. 基于广义互相关与混沌序列预测集成算法的微瞬态电磁辐射信号检测方法[J]. 电子与信息学报, 2015, 37(11): 2769-2775. doi: 10.11999/JEIT 150306
Zhang Yue, Liu Shang-he, Liu Wei-dong . Detection of Weak Transient Electromagnetic Signals Based on Generalized Cross Correlation and Chaotic Time Series Prediction Integrate Algorithm[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2769-2775. doi: 10.11999/JEIT 150306
Citation: Zhang Yue, Liu Shang-he, Liu Wei-dong . Detection of Weak Transient Electromagnetic Signals Based on Generalized Cross Correlation and Chaotic Time Series Prediction Integrate Algorithm[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2769-2775. doi: 10.11999/JEIT 150306

基于广义互相关与混沌序列预测集成算法的微瞬态电磁辐射信号检测方法

doi: 10.11999/JEIT 150306
基金项目: 

国家自然科学基金(61172035)

Detection of Weak Transient Electromagnetic Signals Based on Generalized Cross Correlation and Chaotic Time Series Prediction Integrate Algorithm

Funds: 

The National Natural Science Foundation of China (61172035)

  • 摘要: 该文以研究微弱瞬态电磁辐射信号的探测手段为目的,提出广义互相关与混沌序列预测相集成的检测算法。基于双天线测试和互相关信息估计方法,将低信噪比条件下非周期微弱放电信号的检测问题转化为周期性时延参数的估计问题,同时降低了噪声水平。基于混沌预测方法对其估计结果进行预测,得到的误差均值即为目标信号检测结果。通过仿真与实验分析对该方法的可行性进行了检验,结果表明:在低信噪比条件下利用集成方法可有效抑制噪声干扰的影响,相对于传统互相关估计法或混沌预测法而言,对微弱瞬态电磁辐射信号具有较高的检测概率,且需要的脉冲积累次数较少,提高了检测效率,比较适合用于微弱电磁辐射源的远距离探测。
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出版历程
  • 修回日期:  2015-06-12
  • 刊出日期:  2015-11-19

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