Planning Sensors with Cost-Restricted Subprocess Calls: A Rare-Event Simulation Approach

Frédéric Dambreville (1)

1 STIC - Département STIC [Brest]

This paper deals with optimal sensor planning in the context of an observation mission. In order to accomplish this mission, the observer may request some intelligence teams for preliminary prior information. Since team requests are expensive and resources are bound, the entire process results in a two-level optimization, the first level being an experiment devoted to enhance the criterion modelling. The paper proposes a solve of this problem by rare-event simulation, and a mission scenario is addressed.

Mots clés: Sensor Data Processing; Observation & modeling; Formalisation; Optimization

Domaines: Traitement du signal et de l'image [eess.SP]

Frédéric Dambreville. Planning Sensors with Cost-Restricted Subprocess Calls: A Rare-Event Simulation Approach. Springer. Advanced Computational Methods for Knowledge Engineering, Studies in Computational Intelligence (479), pp.91-104, 2013, Advanced Computational Methods for Knowledge Engineering, ⟨10.1007/978-3-319-00293-4⟩. ⟨hal-01139253⟩