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干扰信号的参数估计范围

Bounds of parameter estimation for interference signals.

作者信息

Li Chengshuai, Zhu Yizheng

出版信息

Appl Opt. 2017 Aug 20;56(24):6867-6872. doi: 10.1364/AO.56.006867.

Abstract

Parameter estimation, especially frequency estimation, from noisy observations of interference is essential in optical interferometric sensing and metrology. The Cramer-Rao bound (CRB) of such estimation determines measurement sensitivity limit. Unlike the well-studied complex sinusoids in communication theory, an optical interference signal is distinctly different in its model parameters and noise statistics. The connection between these parameters and their estimation bounds has not been well understood. Here we propose a complete, realistic multiparameter interference model corrupted by a combination of shot noise, dark noise, and readout noise. We derive the Fisher information matrix and the CRBs for all model parameters, including intensity, visibility, optical path length (frequency), and initial phase. We show that the CRBs of frequency and phase are coupled but not affected by the knowledge of intensity and visibility. Knowing the initial phase offers significant sensitivity advantage, which is verified by both theoretical derivations and numerical simulations. In addition to the complete model, a shot noise-limited case is studied, permitting the calculation of the CRBs directly from measured data.

摘要

从受干扰的噪声观测中进行参数估计,尤其是频率估计,在光学干涉传感和计量中至关重要。这种估计的克拉美 - 罗界(CRB)决定了测量灵敏度极限。与通信理论中经过充分研究的复正弦信号不同,光学干涉信号在其模型参数和噪声统计方面有明显差异。这些参数与其估计界之间的联系尚未得到很好的理解。在此,我们提出一个完整、现实的多参数干涉模型,该模型受到散粒噪声、暗噪声和读出噪声组合的影响。我们推导了所有模型参数的费希尔信息矩阵和CRB,包括强度、可见度、光程长度(频率)和初始相位。我们表明,频率和相位的CRB是耦合的,但不受强度和可见度知识的影响。知道初始相位会带来显著的灵敏度优势,这在理论推导和数值模拟中都得到了验证。除了完整模型外,还研究了散粒噪声限制情况,从而可以直接根据测量数据计算CRB。

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