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Study of the Effectiveness of Different Kalman Filtering Methods and Smoothers in Object Tracking Based on Simulation Tests

Authors
  • Malinowski, Marcin
  • Kwiecień, Janusz
Type
Published Article
Journal
Reports on Geodesy and Geoinformatics
Publisher
De Gruyter Open
Publication Date
Feb 03, 2015
Volume
97
Issue
1
Pages
1–22
Identifiers
DOI: 10.2478/rgg-2014-0008
Source
De Gruyter
Keywords
License
Green

Abstract

In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm. The analysis of different methods of Kalman filtration and associated smoothers applied in object tracing was made on the grounds of simulation tests of algorithms designed and presented in this paper. EKF (Extended Kalman Filter) filter based on approximation with (jacobians) partial derivations and derivative-free filters like UKF (Unscented Kalman Filter) and CDKF (Central Difference Kalman Filter) were implemented in comparison. For each method of filtration, appropriate smoothers EKS (Extended Kalman Smoother), UKS (Unscented Kalman Smoother) and CDKS (Central Difference Kalman Smoother) were presented as well. Algorithms performance is discussed on the theoretical base and simulation results of two cases are presented.

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