Wavelet transform based de-noising method for self mixing interferometry signals

Yuan Sun; Yanguang Yu; Jiangtao Xi

doi:10.1117/12.915940

30 January 2012 Wavelet transform based de-noising method for self mixing interferometry signals

Yuan Sun, Yanguang Yu, Jiangtao Xi

Proceedings Volume 8351, Third Asia Pacific Optical Sensors Conference; 83510G (2012) https://doi.org/10.1117/12.915940
Event: Asia Pacific Optical Sensors Conference, 2012, Sydney, Australia

Abstract

Self-mixing interferometry (SMI) signals are observed from a laser diode (LD) with optical feedbacks induced by an external target. SMI signals carry information related to both of the target and parameters of the LDs. However, the noise contained in SMI signals greatly degrades the applications of the SMI systems. This paper proposes a wavelet transform based de-noising method which can effectively eliminate noise while keeping an SMI waveform less changed. The proposed method is verified by both simulations and experiments.

Citation Download Citation

Yuan Sun, Yanguang Yu, and Jiangtao Xi "Wavelet transform based de-noising method for self mixing interferometry signals", Proc. SPIE 8351, Third Asia Pacific Optical Sensors Conference, 83510G (30 January 2012); https://doi.org/10.1117/12.915940

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