Optimal area covering by sensors for planning a Tracks Collection

Author

Dambreville, Frédéric

Author_Institution

Delegation Gen. pour l´´Armement, CTA, Arcueil

fYear

2006

fDate

10-13 July 2006

Firstpage

1

Lastpage

7

Abstract

This paper is discussing about the collection of informations for military operations at the command level. A variety of sensors are available then, with different characteristics and ranges. The command is interested in helpful tools for the planning of these sensors. According to such objective, this work deal with the optimal covering of the requested information by the sensors. Inspired by the human operator methodology, it is based on a geometrical formalism of the sensors. A method based on the cross-entropy algorithm is proposed for optimizing the locations and geometrical parameters of the sensors in order to maximize the track covering

Keywords

image sensors; military computing; planning; tracking; command level; cross-entropy algorithm; geometrical formalism; human operator methodology; information collection; military operation; optimal area covering; sensor; track collection planning; Authorization; Constraint optimization; Dissolved gas analysis; Electromagnetic forces; Humans; Object detection; Optimization methods; Process planning; Sensor phenomena and characterization; Shape; Optimization; Search theory; Sensor management; Set covering;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2006 9th International Conference on

Conference_Location

Florence

Print_ISBN

1-4244-0953-5

Electronic_ISBN

0-9721844-6-5

Type

conf

DOI

10.1109/ICIF.2006.301821

Filename

4086107