Bayesian Processing for the Detection of Radioactive Contraband from Uncertain Measurements

With the increase in terrorist activities throughout the world, the need to develop techniques capable of detecting radioactive contraband in a timely manner is a critical requirement. The development of Bayesian processors for the detection of contraband stems from the fact that the posterior distr...

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Bibliographic Details
Main Authors: Candy, J.V., Sale, K., Guidry, B.L., Breitfeller, E., Manatt, D., Chambers, D., Meyer, A.
Format: Conference Proceeding
Language:English
Subjects:
Bayesian methods
Distortion measurement
Marketing and sales
Measurement uncertainty
Medical services
Physics
Radiation detectors
Signal processing
Space technology
Testing
Online Access:Request full text
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Summary:With the increase in terrorist activities throughout the world, the need to develop techniques capable of detecting radioactive contraband in a timely manner is a critical requirement. The development of Bayesian processors for the detection of contraband stems from the fact that the posterior distribution is clearly multimodal eliminating the usual Gaussian-based processors. The development of a sequential bootstrap processor for this problem is discussed and shown how it is capable of providing an enhanced signal for eventual detection.
DOI:10.1109/CAMSAP.2007.4497962