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Self-Correction Limits in Dual-Comb Interferometry

机译:双梳干涉法中的自校正极限

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Self-sufficient correction algorithms have recently been developed to estimate and compensate the relative frequency noise between two free-running frequency combs using only their dual-comb interferograms (IGMs). However, such algorithms are limited by the relatively low observation rate of the frequency noise, equal to the IGM repetition rate. In this paper, we analyze the effectiveness of estimation methods based on the cross-correlation function and the ambiguity function. We derive estimators and obtain their theoretical variances as a function of the IGMs' measurable parameters to later establish criteria that verify the success rate of each method for the correction and coherent averaging of successive IGMs. Finally, we present different cases of both real and simulated dual-comb systems and assess their compatibility with these estimation methods.
机译:最近已经开发出自足的校正算法,以仅使用其双梳形干涉图(IGM)来估计和补偿两个自由运行频率梳之间的相对频率噪声。但是,这种算法受到频率噪声相对较低的观察率(等于IGM重复率)的限制。在本文中,我们分析了基于互相关函数和歧义函数的估计方法的有效性。我们推导估计量,并根据IGM的可测量参数获取其理论方差,以便随后建立标准,以验证用于校正和相干平均IIG的每种方法的成功率。最后,我们介绍了真实和模拟双梳系统的不同情况,并评估了它们与这些估计方法的兼容性。

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