Fuzzy Kalman Filter Modeling Based on Sensor Triangulation Applied to Suborbital Rocket Position Estimation

• Autores: Arthur Medeiros Macedo, Ginalber Luiz de Oliveira Serra
• Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 28, Nº. 1, 2023, págs. 77-93
• Idioma: inglés
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• Resumen

  • In order to track a suborbital vehicle, some tracking systems 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.