• DocumentCode
    2468950
  • Title

    The minimum description length criterion applied to emitter number detection and pulse classification

  • Author

    Liu, Jun ; Gao, Shiwei ; Luo, Zhi-Quan ; Davidson, T.N. ; Lee, Jim P Y

  • Author_Institution
    Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
  • fYear
    1998
  • fDate
    14-16 Sep 1998
  • Firstpage
    172
  • Lastpage
    175
  • Abstract
    In this paper, we provide a method to classify incoming radar pulses according to their emitters when the number and nature of the emitters are unknown. The method is based on the minimum description length (MDL) criterion. We derive new description length measures according to different noise characteristics. The novelity of our approach is that the MDL criterion is used to obtain both the number of emitters and the optimal clustering of the received pulses. The performance of this new clustering principle is encouraging, by comparison with some known non-parametric methods
  • Keywords
    radar detection; radar signal processing; signal classification; MDL criterion; emitter number detection; incoming radar pulses; minimum description length criterion; noise characteristics; optimal clustering; pulse classification; Clustering algorithms; Doppler radar; Doppler shift; Frequency; Integrated circuit modeling; Length measurement; Noise measurement; Passive radar; Radar detection; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on
  • Conference_Location
    Portland, OR
  • Print_ISBN
    0-7803-5010-3
  • Type

    conf

  • DOI
    10.1109/SSAP.1998.739362
  • Filename
    739362