Robust bearing estimation for 3-component stations
- Sandia National Laboratories
A robust bearing estimation process for 3-component stations has been developed and explored. The method, called SEEC for Search, Estimate, Evaluate and Correct, intelligently exploits the inherent information in the arrival at every step of the process to achieve near-optimal results. In particular the approach uses a consistent framework to define the optimal time-frequency windows on which to make estimates, to make the bearing estimates themselves, to construct metrics helpful in choosing the better estimates or admitting that the bearing is immeasurable, and finally to apply bias corrections when calibration information is available to yield a single final estimate. The algorithm was applied to a small but challenging set of events in a seismically active region. It demonstrated remarkable utility by providing better estimates and insights than previously available. Various monitoring implications are noted from these findings.
- Research Organization:
- Sandia National Labs., Albuquerque, NM (US); Sandia National Labs., Livermore, CA (US)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 752011
- Report Number(s):
- SAND99-1400
- Country of Publication:
- United States
- Language:
- English
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Robust Bearing Estimation for 3-Component Stations
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Conference
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Wed Jul 01 00:00:00 EDT 1998
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Patent
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Fri Dec 31 23:00:00 EST 1999
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Related Subjects
45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE
98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION
ALGORITHMS
ASSOCIATION
BEARINGS
COORDINATES
CORECTIONS
CORRECTIONS
DATA ANALYSIS
ESTIMATION
LOCATION
POLARIZATION
PROBABILISTIC ESTIMATION
SEISMIC ARRAYS
SEISMIC DETECTION
SEISMIC EVENTS
98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION
ALGORITHMS
ASSOCIATION
BEARINGS
COORDINATES
CORECTIONS
CORRECTIONS
DATA ANALYSIS
ESTIMATION
LOCATION
POLARIZATION
PROBABILISTIC ESTIMATION
SEISMIC ARRAYS
SEISMIC DETECTION
SEISMIC EVENTS