Integration of Inertial Measurement Data for Improved Localization and Tracking of Radiation Sources
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AbstractThe work proposed will study, develop, and implement efficient gradient detection methods and algorithms for localizing radiation sources using a single non‐directional detector. Exploitation of gradients introduced by source‐to‐detector distance – through natural or deliberate motion – and those introduced by body‐shielding will allow for localization and tracking of sources in a pedestrian‐based search scenario. Available technologies for position determination (e.g. MEMs‐based INUs) will be evaluated and integrated into existing spectroscopic radiation detection platforms, and existing advanced Bayesian inference algorithms will be updated to utilize new relative position data. Both the advanced algorithms and the spectroscopic radiation detectors were previously developed under the IRSS ATD program. Their use for this proposed work will significantly reduce both cost and risk.
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