617594d0-41fa-4c90-bf28-ddd29ecf355f20210805025057178wseas:wseasmdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON SIGNAL PROCESSING2224-34881790-505210.37394/232014http://wseas.org/wseas/cms.action?id=4062331202133120211710.37394/232014.2021.17https://wseas.org/wseas/cms.action?id=23315MertSeverHezârfen Aeronautics and Astronautics Technologies Institute for Space Sciences, Turkish National Defense University Yeşilyurt, 34149, Bakırköy, Istanbul, TurkeyChingizHajiyevFaculty of Aeronautics and Astronautics Istanbul Technical University Ayazağa, 34469, Maslak, Istanbul, TurkeyPrecise and accurate estimation of state vectors is an important process during position determination. In this study, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) of stationary user, state vectors defined in Earth Centered Inertial (ECI) coordinate system, accompanied by GNSS measurement data. It is aimed to make estimations with methods. EKF and UKF methods were compared with each other. In this study, the effects of nonlinear motion analysis and linearization methods on state vector estimations were investigated. Thanks to this study, estimations of the positioning information required during the specific tasks of many moving platforms have been made.852021852021758010https://wseas.com/journals/sp/2021/a205114-008(2021).pdf10.37394/232014.2021.17.10https://wseas.com/journals/sp/2021/a205114-008(2021).pdf10.1109/metroaerospace.2016.7573259Bagci, M. & Hajiyev, C. (2016). Integrated NRM/EKF for LEO satellite GPS based orbit determination. IEEE Metrology for Aerospace (MetroAeroSpace), Florence, 462-467. Erkec T.Y. and Hajiyev, C (2021), Satellite Formation Flight via NRM&EKF State Estimation Method, International Symposium on Aircraft Technology, MRO & Operations 2021, June 28-30June 2021, Budapest, Hungary. Erkec T.Y. and Hajiyev, C (2021), Satellite Formation Flight via NRM&EKF State Estimation Method, International Symposium on Aircraft Technology, MRO & Operations 2021, June 28-30June 2021, Budapest, Hungary. 10.37394/232018.2021.9.3Erkec, T.Y., Hajiyev, C, (2021), Vision-Based Approaches of the Small Satellites Relative Navigation, WSEAS TRANSACTIONS on COMPUTER RESEARCH, DOI: 10.37394/232018.2021.9.3. Hacıyev, Ç. (2010, Nisan). Deney Verilerinin İşlenme Yöntemleri ve Mühendislik Uygulamaları. Nobel Yayıncılık. 10.1002/asjc.304Hajiyev, C. (2011). GNSS signal processing via linear and extended Kalman filters. Asian Journal of Control (Vol. 13, No.2, pp. 1-10). 10.1117/12.280797Julier, S., J., and Uhlmann, J., K. (1997, July). New extension of the Kalman filter to nonlinear systems. Proc. SPIE 3068. Signal Processing, Sensor Fusion, and Target Recognition VI. https://doi.org/10.1117/12.280797 Kalman, R.E. (1960). A New Approach to Linear Filtering and Prediction Problems. Journal of Basic Engineering. 10.1007/978-981-10-7566-7Kumar, A. N., Suresh, C., Sasibhushana, R. G., (2018) Extended Kalman Filter for GPS Receiver Position Estimation. In: Bhateja V., Coello C., Satapathy S., Pattnaik P. (eds) Intelligent Engineering Informatics. Advances in Intelligent Systems and Computing, vol 695. Springer, Singapore. Kumar, A., & Rao, G.S. (2019, May). Unscented Kalman Filter for GPS based positioning and tracking services. International Journal of Innovative Technology and Exploring Engineering (IJITEE). (Vol. 8) Sever M. and Hajiyev, C (2021), Comparison of GPS based position estimation methods, International Symposium on Aircraft Technology, MRO & Operations 2021, June 28- 30June 2021, Budapest, Hungary. Sever M. and Hajiyev, C (2021), GPS Based Satellite Localization with Unscented Kalman Filter, International Symposium on Aircraft Technology, MRO & Operations 2021, June 28- 30June 2021, Budapest, Hungary. Sever, M. & Hajiyev, C. (2020, September). Satellite Localization Correction with Extended Kalman Filter. International Symposium on Electric Aviation and Autonomous Systems. 22- 24 Kiev, Ukraine. 10.1016/j.isatra.2010.04.001Soken, H.E. & Hajiyev, C. (2010). Pico satellite attitude estimation via robust unscented Kalman filter in the presence of measurement faults. ISA Trans., 49 (pp 249-256).