• DocumentCode
    2547639
  • Title

    Avian Micro-Doppler Feature Extraction Based on Frequency-Stepped Chirp ISAR

  • Author

    Feng, Cunqian ; Zhu, Feng ; Li, Song

  • Author_Institution
    Inst. of Missile, AFEU, Sanyuan, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Avian detection is very important for the security and development of human´s aviation as well as the development of avian ecology and the prevention from avian influenza. In this paper, a new method of avian micro-Doppler feature extraction from spectrogram on the range-slow time plane based on frequency-stepped chirp ISAR is proposed. In the method, the micro-Doppler outline can be obtained to extract the micro-Doppler rotation frequency and magnitude. The feasibility and effectiveness of the method is proved by simulation results.
  • Keywords
    aerospace safety; airborne radar; avionics; feature extraction; security; synthetic aperture radar; avian detection; avian ecology; avian influenza; avian micro-Doppler feature extraction; aviation security; frequency-stepped chirp ISAR; range-slow time plane; spectrogram; Birds; Chirp; Feature extraction; Radar imaging; Spectrogram; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5600242
  • Filename
    5600242
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2547639