Comparison between the unscented Kalman filter and the extended Kalman filter for the position estimation module of an integrated navigation information system

@article{StPierre2004ComparisonBT,
  title={Comparison between the unscented Kalman filter and the extended Kalman filter for the position estimation module of an integrated navigation information system},
  author={Marc St-Pierre and Denis Gingras},
  journal={IEEE Intelligent Vehicles Symposium, 2004},
  year={2004},
  pages={831-835}
}
An integrated navigation information system must know continuously the current position with a good precision. The required performance of the positioning module is achieved by using a cluster of heterogeneous sensors whose measurements are fused. The most popular data fusion method for positioning problems is the extended Kalman filter. The extended Kalman filter is a variation of the Kalman filter used to solve non-linear problems. Recently, an improvement to the extended Kalman filter has… CONTINUE READING
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