有界高斯抖动(BGJ)/噪声(BGN)的新建模方法及其在抖动/噪声估计/测试中的应用

Masashi Shimanouchi, Mike P. Li, Daniel Chow
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引用次数: 10

摘要

我们提出了一种新的建模和量化有界高斯抖动(BGJ)和有界高斯噪声(BGN)的方法。通过理论和实验验证了该方法的有效性和准确性。然后,我们演示了这种新方法在抖动和噪声估计和测试中的应用,特别是在目标误码率(BER)水平下的总抖动(TJ)和总噪声(TN)。我们举例说明了与不考虑BGJ或BGN的传统方法相比,这种新方法的精度提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New modeling methods for bounded Gaussian jitter (BGJ)/noise (BGN) and their applications in jitter/noise estimation/testing
We propose a new method for modeling and quantifying bounded Gaussian jitter (BGJ), as well as bounded Gaussian noise (BGN). The validity and accuracy of the method are illustrated and verified both in theory and experiments. We then demonstrate the applications of this new method for jitter and noise estimation and testing, especially for total jitter (TJ) and total noise (TN) at a targeting bit error rate (BER) level. We illustrate the accuracy improvements with this new method over the conventional methods that do not take BGJ or BGN into account.
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