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Improved method for estimation of multiple parameters in self-mixing interferometry

机译:自混合干涉测量中多个参数估计的改进方法

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There are two categories of applications for self-mixing interference (SMI)-based sensing: (1) estimation of parameters associated with a semiconductor laser (SL) and (2) measurement of the metrological quantities of the external target. To achieve high resolution sensing, each category of applications requires knowledge from the other. This paper proposes an improved method that can simultaneously measure the parameters of an SL and the target movement in arbitrary form. Starting with the existing SMI model, we derive a new matrix equation for the measurement. The measurement matrix is built by employing all the available data samples obtained from an SMI signal. The total least squares estimation approach is used to estimate the parameters. The proposed method is verified by both simulations and experiments. (C) 2015 Optical Society of America
机译:基于自混合干扰(SMI)的传感有两类应用程序:(1)估算与半导体激光器(SL)相关的参数,以及(2)测量外部目标的计量量。为了实现高分辨率感测,每种应用类别都需要对方的知识。本文提出了一种改进的方法,该方法可以以任意形式同时测量SL的参数和目标运动。从现有的SMI模型开始,我们导出了用于测量的新矩阵方程。通过使用从SMI信号获得的所有可用数据样本来构建测量矩阵。总最小二乘估计方法用于估计参数。仿真和实验验证了该方法的有效性。 (C)2015年美国眼镜学会

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