Modeling and Estimation for Maneuvering Target Tracking with Inertial Systems using Interacting Multiple Models
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099.1/10417
Tipus de documentProjecte Final de Màster Oficial
Data2010
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
The aim of this Thesis is to study and develop Estimation Technique that enhances the
Dynamic Tracking capability of Maneuvering Targets based using Inertial Systems.
Inertial Measurement Systems have measurement biases and drifts and properly
estimating their errors is a real time problem. Moreover, different targets perform
different types of maneuvers during different stages of their trajectory and as such it is
not possible to obtain accurate tracking of target maneuvers using a filters based on
conventional single model approach. As such, a technique is required which is dynamic
in both estimating and filtering the errors in inertial measurements and in switching to
appropriate motion models according to the current maneuver of the vehicle. This
thesis suggests and evaluates ‘Interacting Multiple Models (IMM)’ scheme for the
solution to the above problem. Performance of the IMM scheme is proven over
conventional single model based filters like Kalman Filter through both simulations and
real target tracking.
Descripció
Projecte final de carrea realitzat en col.laboracio amb Centre Tecnològic de
Telecomunicacions de Catalunya
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
MS Thesis - Furrukh Sana.pdf | 3,024Mb | Visualitza/Obre |