Modeling Information Complex Processing with MMS-Kalman Filter

Authors

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

Abstract

Comparison of tow algorithms for mobile object place location with satellite systems is shown in this work. First is the minimum mean-square (MMS) recursive algorithm, which is used for place rough determination and random error filtering (MMS-MMS algorithm). Second is MMS-Kalman filtering algorithm. Estimation of algorithms was obtained by modeling mobile object place location with satellite systems in various dynamic and noise signal situations. Is show, that in case if navigation system have not INS sensors GPS information can be filtered with MMS-MMS algorithm, but if GPS and INS sensors are used MMS-Kalman algorithm can be used. Ill. 6, bibl. 3 (in English, summaries in English, Russian and Lithuanian).

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Published

2007-07-22

How to Cite

Kluga, A., & Kluga, J. (2007). Modeling Information Complex Processing with MMS-Kalman Filter. Elektronika Ir Elektrotechnika, 78(6), 17-20. Retrieved from https://eejournal.ktu.lt/index.php/elt/article/view/10754

Issue

Vol. 78 No. 6 (2007)

Section

T 121 SIGNAL TECHNOLOGY

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