• DocumentCode
    1320049
  • Title

    Direct-path suppression by spatial filtering in digital television terrestrial broadcasting-based passive radar

  • Author

    Tao, R. ; Wu, H.Z. ; Shan, Tao

  • Author_Institution
    Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China
  • Volume
    4
  • Issue
    6
  • fYear
    2010
  • fDate
    12/1/2010 12:00:00 AM
  • Firstpage
    791
  • Lastpage
    805
  • Abstract
    The signal model of digital television terrestrial broadcasting (DTTB) is introduced and its ambiguity function is analysed here. In order to suppress the direct-path (and multipath) interference generated by single frequency network in DTTB-based passive radar, the corresponding spatial filtering methods are designed according to the feature of each channel. In the echo channel, the interference is suppressed by discarding the signal-subspace. The noise-subspace can be estimated from the power of the covariance matrix to avoid the eigen-decomposition and to eliminate the need to obtain the corresponding dimension. In the reference channel, the transmitting signal of a certain transmitter is regarded as the desired signal. The desired signal will be cancelled by conventional spatial filtering algorithms for the high signal-to-noise ratio case, which will also result in a distorted pattern and high side-lobes. To solve this problem, an improved general side-lobe canceller structure is proposed to realise the adaptive beamformer. To improve the robustness of the proposed methods and suppress the distributed clutter, the `broad null` algorithm is combined with the beamformer. The simulation results show that the proposed methods are effective to suppress the interference in DTTB-based passive radar.
  • Keywords
    digital video broadcasting; echo; passive radar; spatial filters; DTTB-based passive radar; beamformer; covariance matrix; digital television terrestrial broadcasting-based passive radar; direct-path suppression; distorted pattern; echo channel; eigen-decomposition; single frequency network; spatial filtering;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn.2009.0138
  • Filename
    5569873