• DocumentCode
    2311133
  • Title

    Coherent integration weak target detection algorithm based on short time sliding window

  • Author

    Guo Yun-fei ; Zhang Yun-long ; Xue An-ke

  • Author_Institution
    Key Lab. of Fundamental Sci. for Nat. Defense-Commun., Inf. Transm. & Fusion Technol., Hangzhou Dianzi Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    4264
  • Lastpage
    4266
  • Abstract
    For the problem of weak target detection under lower signal noise ratio in radar detection system, a key technique is to enhance target echo energy by long time coherent integration. During the integration period, the target echo may occur range migration with integration time increasing. Direct coherent integration will lead to echo energy spread and deteriorate integration effect. A coherent integration algorithm based on short time sliding window is proposed in this paper. Radar signal is formed into a first in first out queue. The queen is continually renewed by the sliding window. The produced queens are coherent integrated at last. Simulation result shows that the proposed algorithm can prevent range migration efficiently and improve coherent integration capability.
  • Keywords
    echo; object detection; radar detection; radar signal processing; coherent integration weak target detection algorithm; first in first out queue; long time coherent integration; radar detection system; radar signal; short time sliding window; signal noise ratio; target echo energy enhancement; Doppler effect; Educational institutions; Object detection; Radar cross section; Signal processing algorithms; Signal to noise ratio; coherent integration; range migration; short time sliding window; weak target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6359195
  • Filename
    6359195