• DocumentCode
    396816
  • Title

    Direction finding using spatial polarimetric time-frequency distributions

  • Author

    Zhang, Yamin ; Amin, Moeness G. ; Obeidat, Baha A.

  • Author_Institution
    Center for Adv. Commun., Villanova Univ., PA, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    1-4 July 2003
  • Firstpage
    133
  • Abstract
    In this paper, we introduce the spatial polarimetric time-frequency distribution (SPTFD) as a platform to process nonstationary array signals with two orthogonal polarization components, such as horizontal and vertical. The use of dual polarization empowers the STFDs and improves the robustness of the respective signal and noise subspaces. With the additional polarimetric information, improved direction finding performance can be achieved. To demonstrate such advantages, the polarimetric time-frequency MUSIC (PTF-MUSIC) method is proposed based on the SPTFD platform and is shown to outperform the MUSIC techniques based on the time-frequency, polarimetric, and conventional methods.
  • Keywords
    array signal processing; time-frequency analysis; direction finding; dual polarization; horizontal polarization component; noise subspace; nonstationary array signal processing; orthogonal polarization component; polarimetric time-frequency MUSIC method; signal enhancement; spatial polarimetric time-frequency distribution; vertical polarization component; Data models; Direction of arrival estimation; Multiple signal classification; Noise robustness; Polarization; Signal processing; Signal to noise ratio; Speech synthesis; Time frequency analysis; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
  • Print_ISBN
    0-7803-7946-2
  • Type

    conf

  • DOI
    10.1109/ISSPA.2003.1224658
  • Filename
    1224658