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Self-Correction Limits in Dual-Comb Interferometry

机译:双梳干涉测量中的自我校正限制

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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:最近已经开发了自充足校正算法以仅使用其双梳干涉图(IGM)来估计和补偿两个自由运行频率梳理之间的相对频率噪声。然而,这种算法受到频率噪声的相对较低的观察速率的限制,等于IGM重复率。在本文中,我们基于互相关函数和歧义函数分析估计方法的有效性。我们派生估算器并获得其理论方案作为IGMS可测量参数的函数,以稍后建立验证每个方法的成功率,以验证连续IGM的校正和相干平均的每个方法的成功率。最后,我们在实际和模拟的双梳系统中呈现不同的情况,并评估它们与这些估计方法的兼容性。

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