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Sustainable Kalman Filteing of Nonlinear Population Dynamics with Applications to GPS Residual Evaluation

Being intended for in situ adaptation of self-location processes by using GPS, a mathematical model of pointing residual is considered from the view point of electro-chemical complexity in the ionosphere. The model is implemented by sustainable Kalman filter generating admissible estimate under noisy observations. Guided by the Volterra's principle, the estimatable model is adapted to observed positioning residual. Through experimental studies, adaptation scheme was verified to restore ionospheric term of positioning residual