A Modified CSA Based on Joint Time-Doppler Resampling for MEO SAR Stripmap Mode

Wenkang Liu*, Guang Cai Sun, Xiang Gen Xia, Jianlai Chen, Liang Guo, Mengdao Xing

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

Image formation of large scenes is still challenging in medium-earth-orbit (MEO) synthetic aperture radar (SAR) due to the existence of severe 2-D space variance. In this paper, the properties of space variance are analyzed in detail, and then a variable-coefficient fourth-order range model is adopted to model the space-variant range history of every target in a large scene accurately. A method integrating a modified chirp scaling algorithm with joint time-Doppler resampling is proposed to address the range-variant range cell migration, as well as the azimuth-variant frequency-modulation rate and higher order Doppler parameters. The computational burden and alternative implementation approaches are also discussed. Finally, processing of simulated data for MEO SAR with 2-m resolution is presented to validate the proposed algorithm.

Original languageEnglish
Pages (from-to)3573-3586
Number of pages14
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume56
Issue number6
DOIs
Publication statusPublished - Jun 2018
Externally publishedYes

Keywords

  • 2-D space variance
  • azimuth resampling
  • chirp scaling (CS)
  • medium-earth-orbit (MEO) synthetic aperture radar (SAR)
  • stripmap mode

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