On Computational Complexity Reduction Methods for Kalman Filter Extensions

The Kalman filter and its extensions are used in a vast number of aerospace and navigation applications for nonlinear state estimation of time series. In the literature, different approaches have been proposed to exploit the structure of the state and measurement models to reduce the computational d...

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Veröffentlicht in:	arXiv.org 2019-10
Hauptverfasser:	Raitoharju, Matti, Piché, Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computation Computer Science - Systems and Control Kalman filters Mathematical models Mathematics - Optimization and Control Mathematics - Probability Optimization State estimation
Online-Zugang:	Volltext
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