SIGNAL PROCESSING AND NOISE REDUCTION OF A FIBER BRAGG GRATING SEISMIC SENSOR SYSTEM |
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| J.-G. Liu, C. Schmidt-Hattenberger, G. Borm |
- Abstract:
- Fiber optic Bragg gratings have found increasing applications to seismic strain measurement of underground structures and rock mass. The strain sensitivity of a Bragg grating measuring system, however, is limited by the noise caused by the instability of the laser wavelength and the rough measurement surroundings. Signal processing and noise reduction plays therefore an important role in the strain measurement using fiber Bragg gratings. In this paper discrete autocorrelation function and iterative smoothing are applied to the improvement of the signal to noise ratio and the detectability of seismic signals in underground rock mass. Results from laboratory and field experiments are given to show the noise reduction and detectability improvements.
- Keywords:
- Fiber Bragg grating, seismic monitoring, noise reduction, autocorrelation function, iterative numerical smoothing
- Download:
- IMEKO-TC4-2001-038.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2001
- Title:
11th IMEKO TC4 Symposium on Trends in Electrical Measurements and Instrumentation (together with 6th IMEKO TC4 Workshop on ADC Modelling and Testing)
- Place:
- Lisbon, PORTUGAL
- Time:
- 13 September 2001 - 14 September 2001