Paper
24 October 2017 A method for velocity signal reconstruction of AFDISAR/PDV based on crazy-climber algorithm
Ying-cheng Peng, Xian Guo, Yuan-ding Xing, Rong Chen, Yan-jie Li, Ting Bai
Author Affiliations +
Proceedings Volume 10464, AOPC 2017: Fiber Optic Sensing and Optical Communications; 104640W (2017) https://doi.org/10.1117/12.2284808
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
The resolution of Continuous wavelet transformation (CWT) is different when the frequency is different. For this property, the time-frequency signal of coherent signal obtained by All Fiber Displacement Interferometer System for Any Reflector (AFDISAR) is extracted. Crazy-climber Algorithm is adopted to extract wavelet ridge while Velocity history curve of the measuring object is obtained. Numerical simulation is carried out. The reconstruction signal is completely consistent with the original signal, which verifies the accuracy of the algorithm. Vibration of loudspeaker and free end of Hopkinson incident bar under impact loading are measured by AFDISAR, and the measured coherent signals are processed. Velocity signals of loudspeaker and free end of Hopkinson incident bar are reconstructed respectively. Comparing with the theoretical calculation, the particle vibration arrival time difference error of the free end of Hopkinson incident bar is 2μs. It is indicated from the results that the algorithm is of high accuracy, and is of high adaptability to signals of different time-frequency feature. The algorithm overcomes the limitation of modulating the time window artificially according to the signal variation when adopting STFT, and is suitable for extracting signal measured by AFDISAR.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ying-cheng Peng, Xian Guo, Yuan-ding Xing, Rong Chen, Yan-jie Li, and Ting Bai "A method for velocity signal reconstruction of AFDISAR/PDV based on crazy-climber algorithm", Proc. SPIE 10464, AOPC 2017: Fiber Optic Sensing and Optical Communications, 104640W (24 October 2017); https://doi.org/10.1117/12.2284808
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KEYWORDS
Reconstruction algorithms

Doppler effect

Interferometers

Reflectors

Time-frequency analysis

Velocimetry

Wavelet transforms

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