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

机译:基于小波变换的自混合干涉信号降噪方法

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摘要

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
机译:从激光二极管(LD)观察到自混合干涉测量(SMI)信号,并由外部目标感应出光反馈。 SMI信号携带与LD的目标和参数有关的信息。但是,SMI信号中包含的噪声大大降低了SMI系统的应用。本文提出了一种基于小波变换的降噪方法,该方法可以有效消除噪声,同时保持SMI波形的变化较小。仿真和实验验证了该方法的有效性。

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