• DocumentCode
    1855975
  • Title

    Track fusion algorithm of emitters-carried platform in ESM system

  • Author

    Li, H.B. ; Cao, H.Y. ; Zhou, Z.X. ; Zhang, Ye ; Qu, C.B.

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • Volume
    3
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    2304
  • Lastpage
    2308
  • Abstract
    Target information could be obtained by detecting the electromagnetic radiation from the emitters implemented on the target in electronic support measures (ESM) system. When multiple radiation sources equipped on the same platform, the signals could be sorted and processed to form tracks separately, which reveals motion information of that platform. Therefore, those tracks should be associated and fused. In this paper, the dual threshold method is used to associate the location information of radiation sources, and the value of threshold is discussed. Furthermore, track association is confirmed with the attribute information of targets. Finally, the Bar Shalom-Campo algorithm is used for track fusion so as to form a systematic track of the platform target. Simulation results demonstrated that the method proposed in this paper can reduce the track information redundancy effectively as well as improve the target tracking accuracy.
  • Keywords
    electromagnetic wave interference; radar interference; radar tracking; sensor fusion; target tracking; ESM system; bar Shalom-Campo algorithm; dual threshold method; electromagnetic radiation detection; electronic support measures system; emitters-carried platform; multiple radiation sources; target information; target tracking accuracy improvement; track association; track fusion algorithm; track information redundancy reduction; ESM; emitter attribute; emitters-carried platform; track association; track fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6492041
  • Filename
    6492041