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Paper data
Two joint estimation decision methods for pollutant source monitoring : a comparison

Delmaire Gilles, Laboratoire d'Analyse des Systèmes du Littoral
Lherbier Régis, Laboratoire d'analyse des systèmes du littoral
Carlier Erick, Laboratoire d'Artois de Mécanique et Habitat (LAMH)

Page numbers in the proceedings:
Volume III pp 395-398


Paper abstract
In this paper, the problem of pollutant source localisation and flow is addressed. It is tackled in a one dimensional context such as river or tunnel with the aid of one remote sensor. N possible sources are considered, one of whom is operating. A specific effort is made upon the impulse responses family which are approximated as a bank of FIR filters with specific delays and orders. In order to reduce the set of solutions, a source flow model is considered which introduces time bounds. Using these features, a joint estimation decision is derived in a bayesian framework and it is compared to the case when source assumptions are dropped. The benefit for this kind of solution is shown practically in terms of localisation quality.

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