DocumentCode :
2449516
Title :
An information gain driven search for a radioactive point source
Author :
Ristic, Branko ; Gunatilaka, Ajith ; Rutten, Mark
Author_Institution :
DSTO, Melbourne
fYear :
2007
fDate :
9-12 July 2007
Firstpage :
1
Lastpage :
8
Abstract :
The paper presents an algorithm for detection and a subsequent information gain driven search for an unaccounted point source of relatively low-level gamma radiation. Source detection and parameter estimation are carried out jointly in the Bayesian framework using a particle filter. The observer control vector consists of the next sensor location and the exposure time. During the pre-detection search, the control vectors take predefined values. After detection, the optimal control vector is selected via a multiple-step ahead maximisation of the Fisher information gain.
Keywords :
Bayes methods; gamma-rays; observers; optimal control; parameter estimation; particle detectors; particle filtering (numerical methods); radioactive sources; Bayesian framework; Fisher information gain; information gain driven search; low-level gamma radiation; multiple-step ahead maximisation; observer control vector; optimal control vector; parameter estimation; particle filter; radioactive point source; sensor location; source detection; Australia; Gamma ray detection; Gamma ray detectors; Gamma rays; Instruments; Monte Carlo methods; Particle filters; Radiation detectors; Radioactive materials; Resource management; Cramér-Rao bound; Fisher information; Monte Carlo estimation; Nuclear detection; counterterrorism; nuclear search; resource allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
Type :
conf
DOI :
10.1109/ICIF.2007.4408041
Filename :
4408041
Link To Document :
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