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DOE OSTI · 1669078

Bayesian Optimal Sensor Augmentation Via Estimated Mutual Information

Williams, Brian J.
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Abstract

We consider the problem of designing a sensor network to most efficiently locate the source of a seismic event. The left panel of Figure 1 shows 982 possible sensor locations in a region of interest. The objective is to infer the unknown location of an earthquake, indicated by the gold dot for illustration purposes. Assume that three sensors have already been placed for data collection. Travel times of the P-wave from the source to the three sensors are observed and used to infer the unknown source location via a Bayesian statistical model described subsequently. The right panel of Figure 1 shows samples from the resulting posterior distribution for source location along with a posterior estimate of this location.

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47 OTHER INSTRUMENTATION58 GEOSCIENCESmutual informationsensor augmentation

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BibTeXRIS

Williams, Brian J.. 2021-11-07. Bayesian Optimal Sensor Augmentation Via Estimated Mutual Information. https://doi.org/10.2172/1669078

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