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Periodic noise analysis of electric circuits: Artifacts,singularities and a numerical method

机译:电路的周期性噪声分析:伪像,奇异点和数值方法

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In this paper it is shown that a numerical method largely adopted for the simulation of noise in autonomous circuits is affected by singularities that manifest when the frequency at which the noise analysis is carried out approaches a harmonic of the autonomous circuit. The resulting noise power spectral density (PSD) is thus characterized by spurious spikes. The presence of these singularities is for the first time justified from an analytical standpoint and their effects are shown by simulating some oscillators, employed as benchmarks. Furthermore, the presented approach justifies the l/(f_s - f)~2 shape of the PSD of noise at the output when the f_s frequency approaches the / fundamental of a stable oscillator and the 1/| f_s — /|~3 shape when the effects of flicker noise are manifest.
机译:在本文中表明,在进行噪声分析的频率接近自治电路的谐波时,奇异性会影响奇异性,而该数值方法在自治电路中被大量采用,是一种数值方法。因此,所产生的噪声功率谱密度(PSD)的特征在于寄生尖峰。从分析的角度来看,这些奇异点的出现是第一次被证明是正确的,并且它们的影响通过模拟一些用作基准的振荡器来显示。此外,当f_s频率接近稳定振荡器的/基频和1 / |时,提出的方法证明了输出噪声的PSD的1 /(f_s-f)〜2形状是合理的。当闪烁噪声的影响明显时,f_s — / |〜3形状。

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