Simulation of noise within BOTDA and COTDR system to study the impact on dynamic sensing
Simulation of noise within BOTDA and COTDR system to study the impact on dynamic sensing
Dynamic distributed sensing of strain and temperature is the key for real-time structural health monitoring (SHM) across a wide range of geo-engineering challenges, for which Brillouin Optical Time Domain Analysis (BOTDA) and Rayleigh Coherent Optical Time Domain Reflectometry (COTDR) are promising candidates. A noise model with specific parametric simulation of the two systems has been developed. Noise in both laser(s) and detector is independently simulated to identify the key noise sources. In this simulation, although averaging can significantly enhance the signal-to-noise ratio (SNR) in the two systems, it is a barrier to dynamic sensing due to its time-consuming accumulation procedure. The sequence of averaging in the signal processing workflow can vary the SNR for the two systems. The system components should be optimized to reduce the averaging times to achieve the required system specifications, especially the dynamic sensing performance.
1576-1600
Funnell, Adam
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Xu, Xiaomin
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Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Soga, Kenichi
e43028e3-af4d-4ea4-a747-6cc6dacc849b
September 2015
Funnell, Adam
3f90e749-af10-4f53-b15a-bf4e6926e45d
Xu, Xiaomin
306a6edb-430e-4f3f-bcab-15b9834060c3
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Soga, Kenichi
e43028e3-af4d-4ea4-a747-6cc6dacc849b
Funnell, Adam, Xu, Xiaomin, Yan, Jize and Soga, Kenichi
(2015)
Simulation of noise within BOTDA and COTDR system to study the impact on dynamic sensing.
International Journal of Smart Sensing and Intelligent Systems, 8 (3), .
Abstract
Dynamic distributed sensing of strain and temperature is the key for real-time structural health monitoring (SHM) across a wide range of geo-engineering challenges, for which Brillouin Optical Time Domain Analysis (BOTDA) and Rayleigh Coherent Optical Time Domain Reflectometry (COTDR) are promising candidates. A noise model with specific parametric simulation of the two systems has been developed. Noise in both laser(s) and detector is independently simulated to identify the key noise sources. In this simulation, although averaging can significantly enhance the signal-to-noise ratio (SNR) in the two systems, it is a barrier to dynamic sensing due to its time-consuming accumulation procedure. The sequence of averaging in the signal processing workflow can vary the SNR for the two systems. The system components should be optimized to reduce the averaging times to achieve the required system specifications, especially the dynamic sensing performance.
Text
[61] Funnell et al 2015 The 5th International Forum on Opto-electronic Sensor-based Monitoring in Geo-engineering, Nanjing, China, 12-14 Oct., 2014.pdf
- Accepted Manuscript
More information
Published date: September 2015
Organisations:
Nanoelectronics and Nanotechnology
Identifiers
Local EPrints ID: 393248
URI: http://eprints.soton.ac.uk/id/eprint/393248
ISSN: 1178-5608
PURE UUID: afa29ec1-7646-4405-b59a-fe8c9c1603ff
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Date deposited: 25 Apr 2016 10:03
Last modified: 15 Mar 2024 03:53
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Author:
Adam Funnell
Author:
Xiaomin Xu
Author:
Kenichi Soga
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