scholarly journals Brillouin Frequency Shift of Fiber Distributed Sensors Extracted from Noisy Signals by Quadratic Fitting

Sensors ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 409 ◽  
Author(s):  
Hanrong Zheng ◽  
Zujie Fang ◽  
Zhaoyong Wang ◽  
Bin Lu ◽  
Yulong Cao ◽  
...  
Keyword(s):  
Frequency Shift ◽  
Distributed Sensors ◽  
Noisy Signals ◽  
Quadratic Fitting

Detailed Evaluation of Centroid Analysis for Extracting Brillouin Frequency Shift of Fiber Distributed Sensors

2019 ◽  
Vol 19 (1) ◽  
pp. 163-170 ◽  
Author(s):  
Hanrong Zheng ◽  
Zujie Fang ◽  
Zhaoyong Wang ◽  
Bin Lu ◽  
Yulong Cao ◽  
...  
Keyword(s):  
Frequency Shift ◽  
Distributed Sensors ◽  
Detailed Evaluation

On a new method in spectroscopy : laser-induced frequency shift of self-excited ion oscillations

1992 ◽  
Vol 2 (7) ◽  
pp. 1367-1372
Author(s):  
R. C. Bobulescu ◽  
M. A. Brǎtescu ◽  
C. Stǎnciulescu ◽  
G. Musa
Keyword(s):  
Frequency Shift ◽  
New Method ◽  
Spectroscopy Laser

Research of the Brillouin frequency shift damage dependence from mechanical stresses in an optical sensor

2019 ◽  
Vol 9 (5) ◽  
pp. 512-521
Author(s):  
Ruslan V. Aginey ◽  
◽  
Rustem R. Islamov ◽  
Alexander A. Godunov ◽  
◽  
...  
Keyword(s):  
Frequency Shift ◽  
Optical Sensor ◽  
Mechanical Stresses

scholarly journals Underground Microseismic Event Monitoring and Localization within Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2830
Author(s):  
Sili Wang ◽  
Mark P. Panning ◽  
Steven D. Vance ◽  
Wenzhan Song
Keyword(s):  
Sensor Networks ◽  
Real Time ◽  
Information Needs ◽  
Localization Algorithm ◽  
Distributed Sensors ◽  
Distributed Sensor ◽  
Microseismic Events ◽  
The Stability ◽  
Stability And Accuracy

Locating underground microseismic events is important for monitoring subsurface activity and understanding the planetary subsurface evolution. Due to bandwidth limitations, especially in applications involving planetarily-distributed sensor networks, networks should be designed to perform the localization algorithm in-situ, so that only the source location information needs to be sent out, not the raw data. In this paper, we propose a decentralized Gaussian beam time-reverse imaging (GB-TRI) algorithm that can be incorporated to the distributed sensors to detect and locate underground microseismic events with reduced usage of computational resources and communication bandwidth of the network. After the in-situ distributed computation, the final real-time location result is generated and delivered. We used a real-time simulation platform to test the performance of the system. We also evaluated the stability and accuracy of our proposed GB-TRI localization algorithm using extensive experiments and tests.

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