Sea Target Classification Based On An A Priori Motion Model
LEGRAND, Pierrick
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
< Réduire
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
Langue
en
Communication dans un congrès
Ce document a été publié dans
EUSIPCO 2020 - 28th European Signal Processing Conference, 2020-08-24, Amsterdam / Virtual. 2020
IEEE
Résumé en anglais
Target classification can be of real interest for sea surveillance in both civil and military contexts. To address this issue, we present two approaches based on the Singer model. The latter has the advantage of covering ...Lire la suite >
Target classification can be of real interest for sea surveillance in both civil and military contexts. To address this issue, we present two approaches based on the Singer model. The latter has the advantage of covering a wide range of motions depending on the values of its parameters. Given noisy observations, the first method aims at estimating the motion model parameters by taking advantage of the properties of the correlation function of the estimated acceleration. It is based on a genetic algorithm. The second approach is on-line and consists in deriving a joint tracking and classification (JTC) method. Based on various simulations, we study their respective relevance in different operational settings. The proposed JTC corresponds to the best compromise in terms of performance and number of samples required.< Réduire
Mots clés en anglais
Sea target classification
Singer model
Joint tracking and classification
Genetic algorithm
Correlation function
Origine
Importé de halUnités de recherche