Metodologia de Modelagem e Filtragem Baseada em Triangulação de Sensores para Rastreamento de Veículos Suborbitais
Keywords: Input and excitation design, Estimation and Filtering, Fuzzy Clustering, Observer Kalman Filter Identification, Position Tracking
AbstractIn order to track a suborbital vehicle, some tracking system are used. Tracking radar can be used for this purpose. This paper presents a method using triangulation of antennas other than radars, for estimating the position of the vehicle. The goal is to improve the capability of keeping tracking the vehicle, even in loss of signal scenarios. Also, a dynamic filter is proposed for improving the estimation accuracy, based on a fuzzy system identification. Simulations were performed to demonstrate the proposed methods in estimating a suborbital vehicle position.