• DocumentCode
    3415397
  • Title

    Feature parameter extraction approach with the stealth S-Cubed radar signal

  • Author

    Xiao-dong, Zeng ; Ying, Xiong ; Wei, Zhang ; De-guo, Zeng ; Yong-ping, Li ; Shuang-cai, Luo ; Bin, Tang

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    2
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    1813
  • Lastpage
    1816
  • Abstract
    Radar equipments of stealth platforms such as aircrafts have adopted the newest modern technology to design the signal waveforms. One of the important and effective methods is the hybrid stealth radar waveform called spread spectrum stretch (S-Cubed). In this paper, the model of S-Cubed which combines linear frequency modulation (LFM) and discrete phase code is presented. Then, a novel approach based on phase difference and clustering is proposed for the feature parameter extraction of the intercepted S-Cubed. Simulation results show that the proposed algorithm has higher parameter extraction accuracy when the SNR is above 10dB.
  • Keywords
    feature extraction; frequency modulation; military radar; radar detection; radar signal processing; spread spectrum radar; waveform analysis; clustering; discrete phase code; feature parameter extraction; hybrid stealth radar waveform; linear frequency modulation; phase difference; signal waveforms; spread spectrum stretch; stealth S-cubed radar signal; Estimation; Frequency estimation; Frequency modulation; Radar; Signal processing algorithms; Signal to noise ratio; clustering; phase difference; spread spectrum stretch (S-Cubed); stealth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2011 IEEE CIE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8444-7
  • Type

    conf

  • DOI
    10.1109/CIE-Radar.2011.6159924
  • Filename
    6159924