Kalman Filter and Particle Swarm Optimization on real time satellite tracking

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dc.authorid0000-0002-0904-2165en_US
dc.authorid0000-0002-4055-7861
dc.contributor.authorKocadağ, Fatih
dc.contributor.authorÇınar, Rıdvan Fırat
dc.contributor.authorDemirkol, Aşkın
dc.date.accessioned2021-06-23T19:44:46Z
dc.date.available2021-06-23T19:44:46Z
dc.date.issued2016
dc.departmentBAİBÜ, Rektörlük, Bilgi İşlem Daire Başkanlığıen_US
dc.descriptionCIE International Conference on Radar (RADAR) -- OCT 10-13, 2016 -- Guangzhou, PEOPLES R CHINAen_US
dc.description.abstractIn this study, it is aimed to tracking a satellite on mobile vehicles for receiving the broadcasting signal of the satellite. Satellite tracking is used in many areas on mobile platforms. Too many problems come with the mobility. A robust tracking algorithm is need for overcome such problems. The robust satellite tracking case is researched and test software is developed for Android based platforms. Satellite tracking can be done with a receiver antenna by adjusting the positions according to the movements of the vehicle. Therefore Kalman Filter and Particle Swarm Optimization algorithm are compared in the use of satellite tracking process. An Android based application was developed to accomplish this and tests were performed using an android - based device on a mobile vehicle. Test data were collected through application from the sensors of the android device. Orientation and location data of the mobile vehicle are collected from the device sensors and they are used in computation of the azimuth and elevation angles of receiver antenna. Two well-known algorithms were implemented and performed on the application for tracking to keep satellite link online. It was systemically investigated the estimation and computational performance of the two algorithm on this subject. The results and test cases were analyzed and discussed. Test cases cover the computation of the azimuth and elevation angles.en_US
dc.description.sponsorshipCIEen_US
dc.identifier.doi10.1109/RADAR.2016.8059264
dc.identifier.isbn978-1-5090-4828-1
dc.identifier.scopus2-s2.0-85034664634en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12491/9041
dc.identifier.urihttps://doi.org/10.1109/RADAR.2016.8059264
dc.identifier.wosWOS:000570762800139en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKocadağ, Fatih
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2016 Cie International Conference On Radar (Radar)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectKalman Filter Algorithmen_US
dc.subjectParticle Swarm Optimization Algorithmen_US
dc.subjectTarget Trackingen_US
dc.subjectAzimuthen_US
dc.subjectElevation and Skew Angle Formulaen_US
dc.subjectAccelerometeren_US
dc.subjectMagnetometeren_US
dc.subjectGPS Data Readingen_US
dc.titleKalman Filter and Particle Swarm Optimization on real time satellite trackingen_US
dc.typeConference Objecten_US

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