Seismic event detection using three-component data

Journal Article · Fri May 01 00:00:00 EDT 1992 · IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/36.142949· OSTI ID:7103868

Magotra, N; Nalley, D; Brozek, J ^[1]

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1. 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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