Fast Shape Reconstruction Based on GPU Parallel Computation in Optical Frequency Domain Reflectometry

A fast shape reconstruction optical frequency domain reflectometry (OFDR) system that employs graphics processing unit (GPU) to parallelly calculate the cross correlation wavelength shift of the two outer cores of a standard multicore fiber (MCF) was proposed and demonstrated. The effect of the numb...

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Bibliographic Details
Published in:IEEE sensors journal 2024-11, Vol.24 (21), p.34591-34597
Main Authors: Shan, Rongyi, Meng, Yanjie, Zhong, Huajian, Liang, Wenfa, Xiao, Shuai, Kong, Yuhao, Peng, Zhenwei, Zhang, Zhicai, Liao, Changrui, Fu, Cailing, Wang, Yiping
Format: Article
Language:English
Subjects:
Cross correlation
Frequency domain analysis
Graphics processing units
Image reconstruction
Microprocessors
Multicore fiber (MCF)
Multicore processing
Optical fiber sensors
Optical frequency
optical frequency domain reflectometry (OFDR)
Optical interferometry
Optical reflection
Parallel processing
parallel processing algorithm
Reflectometry
Shape
shape reconstruction
Spatial resolution
Strain
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Summary:A fast shape reconstruction optical frequency domain reflectometry (OFDR) system that employs graphics processing unit (GPU) to parallelly calculate the cross correlation wavelength shift of the two outer cores of a standard multicore fiber (MCF) was proposed and demonstrated. The effect of the number of threads in each block on the time consumption was studied. The consumption time was 50.86 ms, when the simulated data size and the number of threads per block were 10 MS and 256, respectively. Compared to the serial computing with CPU, the time consumption was reduced by nearly 21 times for 2-D and 3-D fast shape sensing. At the spatial resolution of 5 mm, the maximum reconstruction errors for 2-D and 3-D shape sensing were 3.23% and 2.47%, respectively, with MCF lengths of 47.1 and 43.6 cm.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2024.3462463