Title :

Sensor Management using Expected Risk Reduction approach

Author(s) :

Gomes Borges, Marcos [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
SAFRAN Electronics & Defense
Maltese, Dominique [Auteur]
SAFRAN Electronics & Defense
Vanheeghe, Philippe [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Sella, Geneviève [Auteur]
SAFRAN Electronics & Defense
Duflos, Emmanuel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Conference title :

19th International Conference on Information Fusion (FUSION)

City :

Heidelberg

Country :

Allemagne

Start date of the conference :

2016-07-05

Book title :

19th International Conference on Information Fusion (FUSION)

Publication date :

2016-07-08

English keyword(s) :

Sensor Management
Multi-target tracking
Target tracking
Expected Risk Reduction

HAL domain(s) :

Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Mathématiques [math]/Statistiques [math.ST]
Mathématiques [math]/Probabilités [math.PR]
Mathématiques [math]/Optimisation et contrôle [math.OC]
Mathématiques [math]/Théorie de l'information et codage [math.IT]

English abstract : [en]

This paper introduces an Expected Risk Reduction approach to Sensor Management and Multi-Target Tracking in a surveillance context that implements an IR-Radar sensor suite. Due to operational restrictions (for instance, ...
Show more >This paper introduces an Expected Risk Reduction approach to Sensor Management and Multi-Target Tracking in a surveillance context that implements an IR-Radar sensor suite. Due to operational restrictions (for instance, electromagnetic emission constraints), it is assumed that there are more targets than given sensors are capable of tracking simultaneously when a radar emission control is applied. It is also presumed that an incorrect target classification entails a cost that is different for each target class. The Expected Risk Reduction is then applied to a simulated IR-Radar sensor management to preserve an acceptable level of kinematic accuracy on targets of the high cost. Finally, empirical statistical tests show that a track on high priority targets is maintained better when the aforementioned approach is introduced than in the case of other conventional methods, such as the information gain approach or the round robin assignment.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Oui

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL