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A Bayesian approach to predicting an unknown number of targets based on sensor performance

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Abstract
Estimating remaining targets after some attempt has been made to detect an overall, unknown number of targets is critical to determining the potential threat associated with these remaining targets. This paper presents a Bayesian approach to
 
calculate the distribution on the number of remaining targets given the sensor performance and the
 
number of targets detected. For a single sensor, a closed form posterior distribution on remaining targets is derived. For multiple sensors, the corresponding
 
posterior distribution is developed. A naive implementation of this calculation is shown to be computationally prohibitive, and an efficient means for performing the calculation is presented.
 

URI
http://hdl.handle.net/20.500.12489/599

Report Number
NURC-PR-2006-005

Source
In: FUSION 2006, The 9th International Conference on Information
Fusion 2006, Florence (Italy), 10-13 July 2006, Conference
Proceedings.

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Date
2006/08

Author(s)
Bryan, Karna
; 
Carthel, Craig

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NURC-PR-2006-005.pdf (857.7Kb)

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