• DocumentCode
    1954720
  • Title

    Fuzzy logic track classifier

  • Author

    Karwatka, Jacek

  • Author_Institution
    Telecommun. Res. Inst., Warsaw, Poland
  • fYear
    2011
  • fDate
    25-27 Aug. 2011
  • Firstpage
    169
  • Lastpage
    172
  • Abstract
    In this paper the structure of the track classifier based on the fussy logic is presented. The track classifier is a decision system, which allows determining whether the sequence of radar detections forming a track comes from the real target, or from other objects generating clutter. Human operator easily distinguishes the real tracks from the false ones; however the automaton of this process is not trivial. There are no unique criteria for distinguishing the real and false tracks. In general, the sequence of detections coming from the real track is more regular, that means there are not rapid changes of parameters of motion. The term "rapid change" is not obvious. To determine whether the parameters of motion change rapidly, the fuzzy logic is applied. From this comes the term "fuzzy logic track classifier". The results of the investigation are very encouraging. Applying this method, the number of the false tracks has been reduced more than tree times.
  • Keywords
    decision making; fuzzy logic; pattern classification; radar computing; radar tracking; decision system; fuzzy logic track classifier; human operator; motion parameters; rapid change; Acceleration; Fuzzy logic; Fuzzy sets; Radar tracking; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwaves, Radar and Remote Sensing Symposium (MRRS), 2011
  • Conference_Location
    Kiev
  • Print_ISBN
    978-1-4244-9641-9
  • Type

    conf

  • DOI
    10.1109/MRRS.2011.6053627
  • Filename
    6053627