Dynamic Data Processing with Kaiman Filter

Authors

  • A. Kluga Riga Technical University
  • J. Kluga Riga Technical University

DOI:

https://doi.org/10.5755/j01.eee.111.5.351

Abstract

In this work research results of dynamic data processing with adaptive Kalman filter are presented. In filtering process parameters of filter are change on results of difference between measuring and expected coordinate. Modeling results of adaptive Kalman filtering are comparing with classic Kalman filter. Modeling results using adaptive Kalman filtering for coordinate estimation shows that estimation error decrease in points when parameters of movement change very rapidly. Results of adaptive Kalman filter modeling and filter use for GPS receiver information processing are described. Ill. 11, bibl. 4 (in English; abstracts in English and Lithuanian).

http://dx.doi.org/10.5755/j01.eee.111.5.351

Downloads

Published

2011-06-08

How to Cite

Kluga, A., & Kluga, J. (2011). Dynamic Data Processing with Kaiman Filter. Elektronika Ir Elektrotechnika, 111(5), 33-36. https://doi.org/10.5755/j01.eee.111.5.351

Issue

Vol. 111 No. 5 (2011)

Section

TELECOMMUNICATIONS ENGINEERING

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.