• DocumentCode
    1496386
  • Title

    Channel Phase Error Estimation and Compensation for Ultrahigh-Resolution Airborne SAR System Based on Echo Data

  • Author

    Jianmin Hu ; Yanfei Wang ; Heping Li

  • Author_Institution
    Grad. Univ. of Chinese Acad. of Sci., Beijing, China
  • Volume
    9
  • Issue
    6
  • fYear
    2012
  • Firstpage
    1069
  • Lastpage
    1073
  • Abstract
    For a new kind of ultrahigh-resolution airborne synthetic aperture radar system, a novel two-step approach to estimate and compensate channel phase error based on echo data is presented in this letter. According to the relationship between phase error and pulse compression, the residual channel phase error after internal calibration is modeled as frequency-domain polynomials and divided into two parts. By establishing an optimization estimation model, two parts of the channel phase error can be estimated and compensated successively from a small amount of echo data, which result in the advantage of few storage consumption and fast convergence speed while making up for the insufficiency of system calibration method. Actual eight-channel raw data have been processed, the result of which demonstrates the validity of the presented approach.
  • Keywords
    airborne radar; calibration; error compensation; geophysical signal processing; radar cross-sections; radar signal processing; synthetic aperture radar; channel phase error estimation; echo data; eight-channel raw data; error compensation; frequency-domain polynomials; internal calibration; optimization estimation model; pulse compression; residual channel phase error; synthetic aperture radar; system calibration method; two-step approach; ultrahigh-resolution airborne SAR system; Calibration; Channel estimation; Error analysis; Error compensation; Estimation; Frequency modulation; Image coding; Channel phase error; echo data; estimation and compensation; multichannel synthesis; synthetic aperture radar (SAR); ultrahigh range resolution;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2012.2190133
  • Filename
    6184282