• DocumentCode
    1853746
  • Title

    Identification of radio signal pulse modulation characteristics

  • Author

    Ji Zhenyuan ; Wang Wei ; Liu Chunguang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • Volume
    3
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    1910
  • Lastpage
    1913
  • Abstract
    In the electronic reconnaissance, the identification of radio signal pulse modulation characteristics has vital significance. Firstly, this paper adopts short time fourier transform (STFT) method to analyse the pulse modulation feature of four typical radio reconnaissance signals: linear FM signal (LFM), Tangent FM signal, binary phase coded signal (BPSK), four-phase encoded signal (QPSK). By comparing the time-frenquency curves, the FM signals and the phase modulation signals could be identified. Secondly, wigner-hough transform is used to identify LFM signal and Tangent FM signal according to their different pulse modulation characteristics. Lastly, the identification of BPSK signal and QPSK signal is achieved by extracting the N-th instantaneous frequencies difference. The experimental results show that time-frequency analysis methods that were used in the identification of signal modulation characteristics is feasible and have better noise immunity.
  • Keywords
    Fourier transforms; Hough transforms; electronic warfare; encoding; quadrature phase shift keying; radar signal processing; time-frequency analysis; BPSK; LFM; QPSK; STFT method; Wigner-Hough transform; binary phase coded signal; electronic reconnaissance; electronic warfare; four-phase encoded signal; instantaneous frequencies difference extraction; linear FM signal; noise immunity; pulse modulation feature analysis; radar signal modulation characteristics; radio reconnaissance signals; radio signal pulse modulation characteristic identification; short time Fourier transform method; tangent FM signal; time-frequency analysis methods; instantaneous frequency; radio signal; short time fourier transform; wigner-hough transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491953
  • Filename
    6491953