Seismic event detection using three-component data

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 (SNRs) as low as -6 dB while keeping false alarms down to a minimum. Results obtained by using the algorithm on synthesized data as well as on field-acquired data are presented. >

[1]  Mark Drinkwater,et al.  Springtime C-band SAR backscatter signatures of Labrador Sea marginal ice: measurements versus modeling predictions , 1991, IEEE Trans. Geosci. Remote. Sens..

[2]  Harold Jeffreys,et al.  Earthquake interpretations : a manual for reading seismograms , 1981 .

[3]  N. Magotra,et al.  Single-station seismic event detection and location , 1989 .

[4]  J. Bibbo,et al.  SEISMIC EVENT DETECTION USING SINGLE-CHANNEL DATA , 1990, 1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990..