• DocumentCode
    2940605
  • Title

    Robust Doppler Centroid estimate for ERS and ENVISAT

  • Author

    De Stefano, M. ; Guarnieri, A. Monti

  • Author_Institution
    Dipt. di Elettronica, Politecnico di Milano, Italy
  • Volume
    6
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    4062
  • Abstract
    The algorithm presented is capable of retrieving the correct DC ambiguity and to fit a fine polynomial estimate both on uniform and contrasted scenes. The core of the algorithm exploits a block wise processing: in each block a coarse unambiguous estimate is provided by exploiting both a second order statistic estimator (WDAR) and a higher order technique (MLBF). The final, fine estimate of the unambiguous Doppler is achieved by jointly exploiting the coarse unambiguous estimate with a fine, ambiguous one. The proposed algorithm accounts carefully for large variation of DC with range, like for recent Emergency Backup Mode of ERS and RADARSAT. The final estimate and its confidence is provided by a weighted average of the block measures. Tuning of the weights and additional check ensure robustness. The estimate of the offset frequency constant is then approached and a solution for calibrating its value is provided.
  • Keywords
    Doppler radar; estimation theory; geophysical techniques; polynomials; remote sensing by radar; DC ambiguity; ENVISAT; ERS; MLBF; RADARSAT; WDAR; emergency backup mode; fine polynomial estimation; higher order technique; robust Doppler centroid estimation; robustness; second order statistic estimator; unambiguous Doppler estimation; Autocorrelation; Azimuth; Frequency conversion; Frequency estimation; Higher order statistics; Layout; Phase estimation; Polynomials; Robustness; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1295362
  • Filename
    1295362