Recursive Bayesian filtering for multitarget track-before-detect in passive radars - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Aerospace and Electronic Systems Année : 2012

Recursive Bayesian filtering for multitarget track-before-detect in passive radars

Résumé

This paper presents a Bayesian algorithm for joint detection and tracking in a multitarget setting. Raw measurements are processed using the track-before-detect (TBD) framework. We first establish a Bayesian recursion, which propagates a probability of target existence along with a target state probability density per delay/Doppler bin. In order to handle the nonlinearity of the observation model obtained for orthogonal frequency division multiplexing (OFDM)-based passive radar, a suitable Gaussian mixture implementation is proposed.
Fichier non déposé

Dates et versions

hal-00738318 , version 1 (04-10-2012)

Identifiants

Citer

Frederic Lehmann. Recursive Bayesian filtering for multitarget track-before-detect in passive radars. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48 (3), pp.2458-2480. ⟨10.1109/TAES.2012.6237603⟩. ⟨hal-00738318⟩
53 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More