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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 identify the classification of micro photon navigation sources accurately and effectively, a chaotic identification method of micro photon navigation sources is proposed, which is based on the analysis of the characteristics of micro photonic signals and the application of chaotic dynamics equations to the identification of micro photon navigation sources The model uses the sensitivity of the chaotic oscillator to small signals and the immunity to noise to detect the signal form and parameters of the navigation source and to identify the characteristics and categories of the photon source by measuring and setting the signal period and frequency. The experimental data analysis of the pulsar navigation source shows that this method can detect weak photon pulse navigation source signals with low signal-to-noise ratio and can effectively identify the types of navigation sources. In addition, this method can be used in other advanced navigation systems Signal source frequency measurement, calibration and identification.At the same time, it can be extended to applications such as radar multi-base signal reception and other low signal-to-noise ratio signal detection and identification.