• DocumentCode
    1439231
  • Title

    Multi-baseline phase unwrapping algorithm based on the unscented kalman filter

  • Author

    Xianming, X. ; Yiming, P.

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
  • Volume
    5
  • Issue
    3
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    296
  • Lastpage
    304
  • Abstract
    A new multi-baseline phase unwrapping algorithm based on the unscented Kalman filter (UKF) for SAR interferometry is proposed. This method is the result of combining a UKF with a path-following strategy and an omni-directional local phase slope estimator. This technology simultaneously performs noise filtering and phase unwrapping by an optimal data fusion approach. In addition, phase slope will be directly estimated from the sample frequency spectrum of the complex interferogram, by which the underestimation of phase slope is overcome. Results obtained with synthetic and real data validate the effectiveness of the proposed method.
  • Keywords
    Kalman filters; radar interferometry; sensor fusion; synthetic aperture radar; SAR interferometry; multibaseline phase unwrapping algorithm; noise filtering; omni-directional local phase slope estimator; optimal data fusion approach; path-following strategy; sample frequency spectrum; unscented Kalman filter;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn.2010.0073
  • Filename
    5704833