Seismic event detection using three-component data
Journal Article
·
· IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States)
- Dept. of EECE, Univ. of New Mexico, Albuquerque, NM (US)
This paper presents an approach for the detection of seismic events using three-component data obtained from three orthogonally placed seismometers. In the first stage of processing, a detection parameter is computed as a function of the autocorrelation coefficients of the three data channels. This parameter is then input to a detector which uses the concept of comparing a short time average of the parameter against a delayed, long-term average of the parameter to produce a detector output. This algorithm is capable of detecting extremely weak signals of signal-to-noise ratios (SNR's) as low as {minus}6 dB while keeping false alarms down to a minimum.
- OSTI ID:
- 7103868
- Journal Information:
- IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States), Vol. 30:3; ISSN 0196-2892
- Country of Publication:
- United States
- Language:
- English
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