Abstract

A zero-cross detection algorithm was proposed for the cavity-length interrogation of fiber-optic Fabry–Perot (FP) sensors. The method can avoid the inaccuracy of peak determination in the conventional peak-to-peak method for the cavity-length interrogation of fiber-optic FP sensors caused by the slow variation of the spectral power density in peak neighboring regions. Both simulations and experiments were carried out to investigate the feasibility and performance of the zero-cross detection algorithm. Fiber-optic FP sensors with cavity lengths in the range of 150–1000 μm were successfully interrogated with a maximum error of 0.083 μm.

Highlights

  • A Zero-Cross Detection Algorithm for Cavity-LengthZhibo Ma 1,2 , Zechen Song 1,2 , Xirui Huang 3,4 , Tongxin Guo 1,2 , Weizheng Yuan 1,2 , Haibin Chen 3,4 , Tianyang Zhang 3,4 and Wei Wang 3,4, *

  • Fiber-optic sensors, utilizing the modulation effect of external parameters on light intensity, phase, frequency, or polarization to achieve the sensing of various different quantities, have found broad applications in industrial, research, and defense areas because of their advantages of simple structure, compact size, high resolution, chemical passivity, and electromagnetic immunity [1,2,3]

  • According to the zero-cross detection algorithm described previously, the simulated spectrum was first transformed into the optical frequency domain; it was filtered through the raised-cosine filtering method

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Summary

A Zero-Cross Detection Algorithm for Cavity-Length

Zhibo Ma 1,2 , Zechen Song 1,2 , Xirui Huang 3,4 , Tongxin Guo 1,2 , Weizheng Yuan 1,2 , Haibin Chen 3,4 , Tianyang Zhang 3,4 and Wei Wang 3,4, *. Key Lab of Micro/Nano Systems for Aerospace, Ministry of Education, Northwestern Polytechnical. Shaanxi Key Lab of MEMS/NEMS, Northwestern Polytechnical University, Xi’an 710072, China. Shaanxi Province Key Lab of Photoelectric Measurement and Instrument Technology, Xi’an Technological

Introduction
R1 R2 2 R1 R2 cos c
Zero-Cross Detection Algorithm
Flowchart
Numerical Simulation
Simulated
Experimental
10. Microscopic
Conclusions
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