Study on phase demodulation algorithm of fiber optic pressure sensor based on nonlinear differential equation
Source abstract
Abstract
Fiber optic Fabry–Pérot sensors have been widely developed with unique advantages, such as ease of reuse, resistance to electromagnetic interference, light weight, and their ability to work in extreme environments. There are many demodulation methods that can be applied to fiber optic Fabry–Pérot sensors, including the intensity demodulation method, spectral demodulation, and the phase carrier method, but these demodulation methods cannot meet the requirements that take into account range, speed, and dynamic and static demodulation capabilities. In view of these problems, this paper uses nonlinear differential equations to solve the problem of simultaneous measurement of a large number of ranges and dynamic and static parameters. The measuring interferometer in the demodulation module was built using a polarizing interferometer, which avoids the difficulty in optical wedge processing when using a Fizeau interferometer. Regarding the problems of high and low signal-to-noise ratios of the generated signal, for the problem that the introduction of dispersion in the crystal causes the demodulation result of the traditional demodulation method to be wrong, a nonlinear differential equation is proposed to achieve the correct demodulation of the fiber optic sensor: the slow demodulation speed problem. This paper designs the acquisition, transmission, and processing system based on digital signal processing and a field-programmable gate array, which provide a hardware platform for real-time demodulation. Finally, experiments to test the resolution, linearity, stability, and repeatability of the interferometer were carried out on the designed demodulation system.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: AI and Big Data Applications · Applied Advanced Technologies · Advanced Technologies in Various Fields
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Facility Design and Instrumentation Institute, China Aerodynamics Research and Development Center 1 , Mianyang, Sichuan 621000, China
State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center 2 , Mianyang, Sichuan 621000, China
Funding
Joint Fund for Aerospace Advanced Manufacturing Technology Research
References (11)
Show source-provided references
1. Ultrasensitive fiber optic Fabry Pérot acoustic sensor using phase detection10.1016/j.measurement.2020.108953 ↗
2. Fiber optic Fabry–Pérot acoustic sensor using PVC and GO diaphragms10.1364/osac.391342 ↗
3. A traffic motion object extraction algorithm10.1142/s0218127415400398 ↗
4. Demodulation algorithm for optical fibre F–P sensor10.1364/ao.56.007450 ↗
5. Research on internet information mining based on agent algorithm10.1016/j.future.2018.04.040 ↗
6. Fiber-optic Fabry–Perot pressure sensor for down-hole application10.1016/j.optlaseng.2019.04.028 ↗
7. Bidirectional cognitive computing method supported by cloud technology10.1016/j.cogsys.2018.07.035 ↗
8. Design considerations of a fibre optic pressure sensor protective housing for intramuscular pressure measurements10.1007/s10439-016-1703-6 ↗
9. Nonlinear information data mining based on time series for fractional differential operators10.1063/1.5085430 ↗
10. Fiber-optic Fabry–Perot pressure sensor based on sapphire direct bonding for high-temperature applications10.1364/ao.58.001662 ↗
11. Modeling method of internet public information data mining based on probabilistic topic model10.1007/s11227-019-02885-8 ↗