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Abstract
This work proposes the analysis of tracking algorithms for point objects and extended targets particle filter on a radar application problem. Through simulations, the number of particles, the process and measurement noise of particle filter have been optimized.
Four different scenarios have been considered in this work: point object with linear trajectory, point object with non-linear trajectory, extended object with linear trajectory, extended object with non-linear trajectory.
The extended target has been modelled as an ellipse parametrized by the minor and major axes, the orientation angle, and the center coordinates (5 parameters overall).
Abstract
This work proposes the analysis of tracking algorithms for point objects and extended targets particle filter on a radar application problem. Through simulations, the number of particles, the process and measurement noise of particle filter have been optimized.
Four different scenarios have been considered in this work: point object with linear trajectory, point object with non-linear trajectory, extended object with linear trajectory, extended object with non-linear trajectory.
The extended target has been modelled as an ellipse parametrized by the minor and major axes, the orientation angle, and the center coordinates (5 parameters overall).
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Gupta, Surender
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Matlab, particle filter, object tracking, point object, trajectory
Data di discussione della Tesi
13 Ottobre 2022
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Gupta, Surender
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Matlab, particle filter, object tracking, point object, trajectory
Data di discussione della Tesi
13 Ottobre 2022
URI
Gestione del documento: