• DocumentCode
    553170
  • Title

    A new radar emitter recognition method based on pulse sample figure

  • Author

    Chen Ting ; Guo Wei ; Shen Bing

  • Author_Institution
    Unmanned Aircraft Vehicle Teaching & Res. Sect., A.A. P.L.A., Hefei, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1902
  • Lastpage
    1905
  • Abstract
    Radar emitter recognition is the terminal purpose of radar signal processing. The classical recognition method based on feature extraction usually compares feature data of unrecognized radar signal with the data in database and then obtains emitter recognition result. For the system of radar becoming more and more complex nowadays, traditional methods of radar emitter recognition are facing more and more flinty problems. A new feature description method called pulse sample figure is put forward in this paper to describe complex system radars more exactly. Then the corresponding algorithm of radar emitter recognition based on pulse sample figure is researched. In this algorithm, complete sorting and feature extraction in traditional emitter recognition are unnecessary, so the processing step is simplified. Simulation results show that the algorithm is available and practical; especially a high correct recognition rate can be got when the density of pulse sequence data is moderate with this algorithm.
  • Keywords
    feature extraction; large-scale systems; radar signal processing; complex system radar; feature description method; feature extraction; pulse sample figure; pulse sequence data; radar emitter recognition method; radar signal processing; Databases; Feature extraction; Measurement uncertainty; Noise; Noise measurement; Radar; Radio frequency; emitter recognition; feature description; feature extraction; pulse sample figure; template matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019818
  • Filename
    6019818