Hong Hui-Song, Kim Chol-Hyon, Kim Jin-Hyok, Kim Chong-Hyok, Ri Chung-Rok
Appl Opt. 2022 Mar 1;61(7):1600-1605. doi: 10.1364/AO.447896.
The knotty problems in the displacement reconstruction based on the self-mixing (SM) technique are the estimation of the self-mixing interferometry parameters and the normalization of SM signals (SMSs) since they are all very time-consuming and based on complex algorithms. This has an unfavorable effect on the real-time and low-cost natures of the SM displacement sensor. In the paper, we have presented a simple method of displacement retrieval with a high resolution, which does not require the parameter estimation and normalization. The proposed method is based on the scaling of individual fringes in SMSs and speckle noise proof. The simplicity of the method will make a great contribution to lowering the cost of the SM displacement sensor and improving the reliability and resolution of the sensor.
基于自混合（SM）技术的位移重建中的棘手问题是自混合干涉测量参数的估计和SM信号（SMS）的归一化，因为它们都非常耗时且基于复杂算法。这对SM位移传感器的实时性和低成本特性产生不利影响。在本文中，我们提出了一种简单的高分辨率位移检索方法，该方法不需要参数估计和归一化。所提出的方法基于SMS中单个条纹的缩放和散斑噪声防护。该方法的简单性将对降低SM位移传感器的成本以及提高传感器的可靠性和分辨率做出巨大贡献。
