Abstract
In the first part of the paper, a polynomial filter has been proposed for filtering under quadratic nonlinearities both in the system and measurement equations. The second part details its features and advantages over the extended Kalman filter and illustrates them using a methodological example and examples of navigation data processing.
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This research was supported by Russian Science Foundation, grant no. 18-19-00627, https://rscf.ru/project/18-19-00627/.
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Stepanov, O.A., Litvinenko, Y.A., Vasiliev, V.A. et al. Polynomial Filtering Algorithm Applied to Navigation Data Processing under Quadratic Nonlinearities in System and Measurement Equations. Part 2. Solution Examples. Gyroscopy Navig. 12, 314–328 (2021). https://doi.org/10.1134/S2075108721040088
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DOI: https://doi.org/10.1134/S2075108721040088