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Detection and Isolation of Manoeuvres in Adaptive Tracking Filtering Based on Multiple Model Switching

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Fault Diagnosis

Abstract

Tracking filters are the principal part of radar data processing systems. In fact, the tracking filter is a state estimator (Anderson and Moore, 1979) of the object (target) being tracked. Its task is to process radar measurements of motion parameters of such a target in order to reduce measurement errors by means of time averaging, to estimate the object’s velocity and acceleration and to predict its future positions (Blackman and Popoli, 1999).

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Author information

Authors and Affiliations

  1. Faculty of Electronics, Telecommunication and Computer Science, Department of Automatic Control, Gdańsk University of Technology, ul. Narutowicza 11/12, 80-952, Gdańsk, Poland

    Zdzisław Kowalczuk

  2. Department of Signal and Information Processing, Telecommunications Research Institute, Gdańsk Division, ul. Hallera 13, 80-401, Gdansk, Poland

    Mirosław Sankowski

Authors
  1. Zdzisław Kowalczuk
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  2. Mirosław Sankowski
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Editor information

Editors and Affiliations

  1. Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgorna 50, 65-246, Zielona Góra, Poland

    Józef Korbicz

  2. Dept. of Automatic Control W.E.T.I., Technical University of Gdańsk, ul. Narutowicza 11/12, 80-952, Gdańsk, Poland

    Zdzisław Kowalczuk

  3. Institute of Automatic Control and Robotics, Warsaw University of Technology, ul. Chodkiewicza 8, 02-525, Warszawa, Poland

    Jan M. Kościelny

  4. Dept. of Fundamentals of Machine Design, Silesian University of Technology Gliwice, Konarskiego 18a, 44-100, Gliwice, Poland

    Wojciech Cholewa

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© 2004 Springer-Verlag Berlin Heidelberg

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Kowalczuk, Z., Sankowski, M. (2004). Detection and Isolation of Manoeuvres in Adaptive Tracking Filtering Based on Multiple Model Switching. In: Korbicz, J., Kowalczuk, Z., Kościelny, J.M., Cholewa, W. (eds) Fault Diagnosis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18615-8_20

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  • DOI: https://doi.org/10.1007/978-3-642-18615-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62199-4

  • Online ISBN: 978-3-642-18615-8

  • eBook Packages: Springer Book Archive

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