Removing the impulsive noise contained in a self-mixing interferometry system using outlier detection

Yan Gao; Yanguang Yu; Jiangtao Xi; Qinghua Guo; Jun Tong; Sheng Tong

doi:10.1117/1.OE.53.12.124108

24 December 2014 Removing the impulsive noise contained in a self-mixing interferometry system using outlier detection

Yan Gao, Yanguang Yu, Jiangtao Xi, Qinghua Guo, Jun Tong, Sheng Tong

Author Affiliations +

Optical Engineering, Vol. 53, Issue 12, 124108 (December 2014). https://doi.org/10.1117/1.OE.53.12.124108

Abstract

Impulsive noise is a major problem that seriously degrades the performance of self-mixing interferometry (SMI). A new method to rectify this issue is proposed. First, an outlier detection approach is employed to detect the data samples corrupted by the impulsive noise, and then the SMI signal waveform is rectified by means of least square (LS) curve fitting. The results show that the proposed method can effectively remove the impulsive noise without introducing distortion to the original waveform and thus lead to improvement in the performance of an SMI system.

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Yan Gao, Yanguang Yu, Jiangtao Xi, Qinghua Guo, Jun Tong, and Sheng Tong "Removing the impulsive noise contained in a self-mixing interferometry system using outlier detection," Optical Engineering 53(12), 124108 (24 December 2014). https://doi.org/10.1117/1.OE.53.12.124108

Published: 24 December 2014

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