Ground Moving Target Refocusing in SAR Imagery Based on RFRT-FrFT

Penghui Huang*, Xiang Gen Xia, Yesheng Gao, Xingzhao Liu, Guisheng Liao, Xue Jiang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)

Abstract

In this paper, a new algorithm is presented to image ground moving targets in a synthetic aperture radar (SAR) system based on range frequency reversal transform-fractional Fourier transform (RFRT-FrFT). In this algorithm, a range compressed signal is initially transformed into the range frequency domain and then RFRT is proposed to directly compensate the range migration via multiplying the signal in the range frequency domain by its reversed data according to the equal interval sampling of range frequency variable, which can significantly decrease the computational complexity in target envelope migration elimination. Then, FrFT is applied to accomplish the target motion parameter estimation after range migration alignment. Finally, a ground moving target is well focused after motion compensation. The effectiveness of the proposed algorithm is validated by both simulated and real SAR data.

Original languageEnglish
Article number8681723
Pages (from-to)5476-5492
Number of pages17
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume57
Issue number8
DOIs
Publication statusPublished - Aug 2019
Externally publishedYes

Keywords

  • Doppler ambiguity
  • fractional Fourier transform (FrFT)
  • motion parameter estimation
  • range frequency reversal transform (RFRT)
  • synthetic aperture radar (SAR)

Fingerprint

Dive into the research topics of 'Ground Moving Target Refocusing in SAR Imagery Based on RFRT-FrFT'. Together they form a unique fingerprint.

Cite this