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Weak Signal Parameters Estimate Methods Based on Chaotic DFD (Differential Frequency Disturbance)

机译:基于混沌DFD的微弱信号参数估计方法

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The chaotic system is very sensitive to the frequency of input weak signal, we select a fightable input signal as a standard base signal, then a harmonic weak signal are put in. We adjust the frequency of standard signal gradually, the motivation of chaotic critical state will change greatly, the numerical result prove that when the standard signal frequency equal to the frequency of harmonic weak signal, the power spectrum of chaotic system will turn to be increase, the input harmonic signal frequency will be calculated. The DFD(Differential frequency disturbance) methods are introduced in this paper, we give detail process of how to estimate weak signal parameters use this methods, the numeric analysis prove that the differential frequency disturbance method of solve the chaotic weak harmonic signal parameter estimation give great low SNR, it has very high estimate precision result.
机译:混沌系统对输入微弱信号的频率非常敏感,我们选择一个可战斗的输入信号作为标准基本信号,然后输入谐波微弱信号。我们逐渐调整标准信号的频率,激发混沌临界状态数值变化表明,当标准信号频率等于谐波弱信号的频率时,混沌系统的功率谱将增大,从而计算出输入谐波信号的频率。本文介绍了差分频率扰动(DFD)方法,给出了使用该方法估计微弱信号参数的详细过程,数值分析证明,解决混沌弱谐波信号参数估计的差分频率扰动方法具有很大的应用价值。低SNR,它具有很高的估计精度结果。

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