1/f Phase Noise in Oscillators Modeled with Q and Its Entropy Origin

A. Feinberg
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Abstract

Noise in operating systems has been strongly linked to degradation. One such type of noise of interest in this paper is phase noise, which we model and describe its significance in thermodynamic degradation science. Phase noise of an oscillator is perhaps one of the most important oscillator parameters and the source of the noise is not well understood. Phase noise is important as it degrades the purity of the carrier frequency when used in transmission which is only one of the many applications in oscillator usage. It is known that the unloaded Q in phase noise goes as the inverse of Q to the forth power observed in the low frequency area (i.e. near the carrier frequency) as noted in oscillator power noise spectral density. In this paper we provide a model that leads to this observed unloaded Q dependence noted in the power spectral density. We then provide specific comparison to an LRC oscillator circuit to establish a parametric useful analogy. A second model links Q to entropy which we show produces this type of noise. Although this noise’s origin is not well understood in terms of reliability, we have previously found that noise is typically attributed to entropy (disorder). This is because temporal coherence of a signal from an operating device can be correlated to disorder in the spatial coherence in the device. Once understood, the phase noise has an entropy explanation that yields the inverse frequency dependence observed. Therefore, this type of noise measurement is of importance in thermodynamic degradation process as it has applications to understanding noise in other areas besides oscillators. Results show consistency with damage entropy principles in terms of purity of materials and measurement methods observed in the literature. Because entropy is an expression of the disorder, or randomness of a system, we anticipate that such results can be applied in assessing stability issues in many fabricated electronic devices.
用Q建模的振荡器中的1/f相位噪声及其熵源
操作系统中的噪音与退化密切相关。本文感兴趣的一类噪声是相位噪声,我们对相位噪声进行了建模并描述了它在热力学退化科学中的意义。振荡器的相位噪声可能是振荡器最重要的参数之一,而噪声的来源还不太清楚。相位噪声很重要,因为它在传输中使用时降低了载波频率的纯度,这只是振荡器使用中的许多应用之一。众所周知,在振荡器功率噪声谱密度中,相位噪声中未加载的Q是在低频区(即载波频率附近)观察到的Q的四次方的倒数。在本文中,我们提供了一个模型,导致在功率谱密度中注意到的这种观察到的卸载Q依赖。然后,我们提供了一个LRC振荡器电路的具体比较,以建立一个有用的参数类比。第二个模型将Q与熵联系起来,我们表明熵产生了这种类型的噪声。虽然这种噪音的来源在可靠性方面还没有得到很好的理解,但我们以前发现噪音通常归因于熵(无序)。这是因为来自操作设备的信号的时间相干性可以与设备中空间相干性的无序性相关联。一旦理解,相位噪声有一个熵的解释,产生反向的频率依赖。因此,这种类型的噪声测量在热力学退化过程中是重要的,因为它可以应用于理解除振荡器以外的其他领域的噪声。结果与文献中观察到的材料纯度和测量方法的损伤熵原理一致。因为熵是系统无序或随机性的一种表达,我们预计这样的结果可以应用于评估许多制造电子设备的稳定性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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