Bayesian Processing for the Detection of Radioactive Contraband from Uncertain Measurements

Journal Article · Tue Jun 26 00:00:00 EDT 2007 · IEEE CAMSAP '07, vol. 2, no. 1, December 15, 2007, pp. 2-15

DOI:https://doi.org/10.1109/CAMSAP.2007.4497962· OSTI ID:942026

Candy, J V; Sale, K; Guidry, B; Breitfeller, E; Manatt, D; Chambers, D

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.

• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA
• Sponsoring Organization: USDOE
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 942026
• Report Number(s): UCRL-JRNL-232317
• Journal Information: IEEE CAMSAP '07, vol. 2, no. 1, December 15, 2007, pp. 2-15, Journal Name: IEEE CAMSAP '07, vol. 2, no. 1, December 15, 2007, pp. 2-15
• Country of Publication: United States
• Language: English

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