Effect of windowing on a sensing signal generated by self-mixing interferometry

Wang, Han; Ruan, Yuxi; Yu, Yanguang; Xi, Jiangtao; Guo, Qinghua; Tong, Jun

doi:10.1117/12.2542368

Cited by 1 publication

(1 citation statement)

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“…As the sampling frequency s F is much higher than c f , it is reasonable to believe that overlap between the two terms on the right hand side of (12) can be ignored. In this case, we do not need to employ windowing techniques to reduce the influence of spectral spread of FFT components [26].…”

Section: A Simulation Testmentioning

confidence: 99%

A New Algorithm for Displacement Measurement Using Self-Mixing Interferometry With Modulated Injection Current

Wang

Ruan

et al. 2020

IEEE Access

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Using self-mixing interferometry (SMI) with a periodical modulated injection current, high resolution displacement sensing can be achieved by retrieving the initial phase of an SMI signal at each modulation period. However, the existing initial-phase-based detection methods can only obtain a single point measurement of displacement within each single modulation period. Thus, they are only effective when the target is subject to slow movement, or the injection current is modulated by a signal of very high frequency, which are not practical in many applications. In this work, a new method is proposed to tackle the problem. Firstly, a reference signal is obtained by setting the target still. Then Fast Fourier Transform and its inverse (FFT/IFFT) are applied to the reference signal and the SMI signal, leading to a formulation to obtain the SMI signal phase, which enables the SMI system to retrieve the time varying displacement in each modulation period. As the proposed method is able to measure displacement at multiple discrete time instances (dependent on the number of samples for FFT), the measurement resolution is significantly improved over existing method. Hence, the measurement capability of the SMI system is enhanced greatly. Both simulation and experiments are conducted and the results are presented to verify the proposed algorithm.

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Section: A Simulation Testmentioning

confidence: 99%