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Fast estimation of feedback parameters for a self-mixing interferometric displacement sensor

机译:快速估计自混合干涉式位移传感器的反馈参数

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Self-mixing interferometry (SMI) is an attractive sensing scheme increasingly used for distance, velocity, flow and vibration sensing for applications such as rotational speed of servo drives, detection of single micro-particles in airflow, size measurement of Brownian particles, terahertz imaging etc. In order to retrieve target displacement information with sub-wavelength precision from the SMI signal, two key SMI parameters, namely optical feedback coupling factor C and line-width enhancement factor alpha need to be estimated. In this paper, we propose a fast method to jointly estimate C and alpha parameters in the context of SMI laser displacement sensor. For this purpose, we apply Newton's algorithm to quickly converge to the optimum C and alpha values. Compared to previous methods, this new method enables us to significantly reduce the computation time of parameter estimation and could play a vital role in the development of real-time self-mixing interferometric sensors with sub-wavelength precision.
机译:自混合干涉仪(SMI)是一种有吸引力的传感方案,越来越多地用于距离,速度,流量和振动传感,例如伺服驱动器的转速,气流中单个微粒的检测,布朗微粒的尺寸测量,太赫兹成像为了从SMI信号中以亚波长精度检索目标位移信息,需要估计两个关键的SMI参数,即光反馈耦合因子C和线宽增强因子alpha。在本文中,我们提出了一种在SMI激光位移传感器的背景下联合估算C和alpha参数的快速方法。为此,我们应用牛顿算法快速收敛到最佳C和alpha值。与以前的方法相比,该新方法使我们能够显着减少参数估计的计算时间,并且在开发亚波长精度的实时自混合干涉仪中起着至关重要的作用。

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