Detection and Tracking of Targets under Low SNR

Naïma Amrouche; Ali Khenchaf; Daoud Berkani

doi:10.1109/ICIT.2017.7915496

Communication dans un congrès

Detection and Tracking of Targets under Low SNR

Naïma Amrouche ^{1, 2} Ali Khenchaf ^{1, 2} Daoud Berkani ³

1 Lab-STICC_ENSTAB_MOM_PIM

Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance

2 Pôle STIC_REMS

ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne

3 National Polytechnic School Algiers

Abstract : Target tracking in the time is a difficult problem of dynamic state estimation; the problem is more complex in a low signal to noise ratio (SNR) or in high clutter conditions. An efficient approach for target detection and tracking under low signal to noise ratio (SNR) conditions is the Track-Before-Detect (TBDF) filter. This paper proposes to use the TBD method based on particle filtering includes unthresholded data and a binary variable of the existence of the target in the estimating target state for two motion model. Using simulations it is shown that with this method, it is possible to detect and track the target in low signal to noise ratio.

Keywords : target tracking detection radar particle filter nonlinear filtering

Type de document :

Communication dans un congrès

Domaine :

Sciences de l'ingénieur [physics] / Traitement du signal et de l'image [eess.SP]

Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01653314
Contributeur : Annick Billon-Coat <>
Soumis le : vendredi 1 décembre 2017 - 12:01:12
Dernière modification le : mercredi 24 juin 2020 - 16:19:51

Detection and Tracking of Targets under Low SNR

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