2017 IEEE International Conference on Computational Electromagnetics (ICCEM) 2017
DOI: 10.1109/compem.2017.7912791
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Transmission properties of Fiber Bragg Grating with GPU support

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Cited by 1 publication
(2 citation statements)
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“…Sha et al also used GPU for dealing with the data of a Φ-OTDR sensing system, so the speed of data processing was enhanced and the real-time performance was optimized [22]. The studies on GPU-parallel computing also have been applied to other fields, such as Fiber Bragg Grating (FBG) sensor and Stimulated Brillouin scattering (SBS) in optical telecommunication systems [23,24]. The fields of cellular and remote sensor imaging [25] and the occupancy grid maps in automotive environments also utilized GPU-parallel technology to improve real-time performance [26].However, the high-speed concurrent computation can hardly do without the support of high-speed data acquisition, particularly in the process of real-time collection of vibration information in time, space, and frequency.In this paper, without changing the amount of data in the system, we reduce the overall running time of the system by optimizing data acquisition and data demodulation methods.…”
mentioning
confidence: 99%
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“…Sha et al also used GPU for dealing with the data of a Φ-OTDR sensing system, so the speed of data processing was enhanced and the real-time performance was optimized [22]. The studies on GPU-parallel computing also have been applied to other fields, such as Fiber Bragg Grating (FBG) sensor and Stimulated Brillouin scattering (SBS) in optical telecommunication systems [23,24]. The fields of cellular and remote sensor imaging [25] and the occupancy grid maps in automotive environments also utilized GPU-parallel technology to improve real-time performance [26].However, the high-speed concurrent computation can hardly do without the support of high-speed data acquisition, particularly in the process of real-time collection of vibration information in time, space, and frequency.In this paper, without changing the amount of data in the system, we reduce the overall running time of the system by optimizing data acquisition and data demodulation methods.…”
mentioning
confidence: 99%
“…Sha et al also used GPU for dealing with the data of a Φ-OTDR sensing system, so the speed of data processing was enhanced and the real-time performance was optimized [22]. The studies on GPU-parallel computing also have been applied to other fields, such as Fiber Bragg Grating (FBG) sensor and Stimulated Brillouin scattering (SBS) in optical telecommunication systems [23,24]. The fields of cellular and remote sensor imaging [25] and the occupancy grid maps in automotive environments also utilized GPU-parallel technology to improve real-time performance [26].…”
mentioning
confidence: 99%