• DocumentCode
    1659814
  • Title

    Estimation of blind source number in communication reconnaissance

  • Author

    Jingjing, Du ; Yang, Zhang ; Bin, Tang

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • fYear
    2008
  • Firstpage
    1815
  • Lastpage
    1817
  • Abstract
    For blind signal processing in communication reconnaissance, it is a key step to estimate the sources number, which greatly influences the performance of subsequent processing. In this paper, the source estimation method based on power spectral density (PSD) is successfully adopted in blind communication reconnaissance signal separation. Meanwhile, according to the characteristic of this specific kind of signal, improvement of this method is put forward for more efficient application in this field. At last, the effectiveness of the modification is verified by simulation and the weakening effect of the noise influence on source estimation is proved by contrastive analysis.
  • Keywords
    blind source separation; blind communication reconnaissance signal separation; blind signal processing; blind source number estimation; contrastive analysis; power spectral density; Analytical models; Biomedical signal processing; Blind source separation; Fourier series; Frequency estimation; Reconnaissance; Sensor phenomena and characterization; Signal processing; Source separation; Speech processing; blind signal; communication reconnaissance; power spectral density; source number estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697492
  • Filename
    4697492