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机构地区:[1]西安电子科技大学电子工程学院,西安710071
出 处:《中国科学:物理学、力学、天文学》2011年第5期685-690,共6页Scientia Sinica Physica,Mechanica & Astronomica
基 金:教育部高等学校博士学科点专项科研基金(编号:200807011007);中国科学院精密导航定位与定时技术重点实验室开放基金(编号:2009PNTT09)
摘 要:为了能准确有效地识别微光子导航源的类别,提出了一种微光子导航源的混沌辨识方法.该方法在分析微光子信号特性的基础上应用混沌动力学方程建立微光子导航源的辨识模型,该模型利用了混沌振子对小信号的敏感性以及对噪声的免疫力来检测导航源的信号形式和参数,并通过对信号周期、频率的测量与整定,识别微光子源的特性与类别.通过对脉冲星导航源的实验数据分析,表明该方法可以检测低信噪比的微弱光子脉冲导航源信号,并能有效识别导航源的类别.此外,该方法还能用于其他先进导航系统的信号源频率测量、校准与识别.同时,可以扩展到如雷达多基信号接收及其他低信噪比信号检测和识别等应用领域.In order to accurately and effectively recognize weak photon navigation source.A weak photon navigation source recognition method was developed which employed chaotic dynamics formula to build recognition system model based on characteristics of weak photon signal.This method detected navigation source signal types and parameters according to characteristics of chaotic oscillator sensitiveness to weak signals and immunity to noises.Then the model detected and adjusted signal period and frequency to recognize characteristics and types of weak photon navigation source.Observed data from the measured pulsar navigation resource were tested using the proposed method.The results show that the method can detect that signal with the lower noise ratio and effectively mark navigation resource types.The method also can detect,adjust and recognize other advanced navigation source.Meanwhile,the method can also apply with multi-based radar signal reception and other aspect detection and recognition of low signal-to-noise ratio signal.
分 类 号:TN961[电子电信—信号与信息处理]
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