Using the measurements collected at a number of known locations by a moving binary sensor, characterised by an unknown threshold, the problem is to estimate the parameters of a biochemical source, continuously releasing material into the atmosphere. The solution is formulated in the Bayesian framework using a dispersion model of Poisson distributed particle encounters in a turbulent flow. The method is implemented using the importance sampling technique and successfully validated with three experimental datasets under different wind conditions.
@article{arxiv.1601.02304,
title = {Localisation of a source of biochemical agent dispersion using binary measurements},
author = {Branko Ristic and Ajith Gunatilaka and Ralph Gailis},
journal= {arXiv preprint arXiv:1601.02304},
year = {2016}
}