• DocumentCode
    35614
  • Title

    Squinted TOPS SAR Imaging Based on Modified Range Migration Algorithm and Spectral Analysis

  • Author

    Jun Yang ; Guangcai Sun ; Mengdao Xing ; Xiang-Gen Xia ; Yi Liang ; Zheng Bao

  • Author_Institution
    Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
  • Volume
    11
  • Issue
    10
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    1707
  • Lastpage
    1711
  • Abstract
    For the squinted terrain observation by progressive scans (TOPS) imaging mode, three problems need to be considered: azimuth spectrum aliasing, serious range-azimuth coupling, and azimuth time aliasing after range cell migration correction (RCMC). For these problems, a subaperture imaging algorithm based on the modified range migration algorithm (RMA) combined with spectral analysis (SPECAN) is proposed in this letter. Echo data are properly divided into subapertues so that the 2-D spectrum of each subaperture without aliasing can be obtained; then, the modified RMA is used to perform RCMC; finally, the signal is focused in the Doppler domain by SPECAN and deramping after subaperture recombination. Both simulated and real SAR data in the squinted TOPS mode are used to validate the proposed algorithm.
  • Keywords
    Doppler radar; radar imaging; spectral analysis; synthetic aperture radar; 2D spectrum analysis; Doppler domain; RCMC; RMA; SPECAN; azimuth spectrum aliasing; azimuth time aliasing; deramping subaperture recombination; echo data division; modified range migration algorithm; range cell migration correction; serious range-azimuth coupling; spectral analysis; squinted TOPS SAR imaging mode; subaperture imaging algorithm; terrain observation by progressive scan; Algorithm design and analysis; Azimuth; Doppler effect; Imaging; Remote sensing; Signal processing algorithms; Synthetic aperture radar; Modified range migration algorithm (RMA); spectral analysis (SPECAN); squinted TOPSAR; subaperture;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2014.2306433
  • Filename
    6767071