Range Doppler and chirp scaling processing of synthetic aperture radar data using the fractional Fourier transform

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Synthetic aperture radar (SAR) systems are used to form high-resolution images from radar backscatter signals. The fractional Fourier transform (FrFT), which is a generalised form of the well-known Fourier transform, has opened up the possibility of a new range of potentially promising and useful applications that involve the use and detection of chirp signals that include pattern recognition and SAR imaging. In this study a time variant problem associated with the use of the FrFT for SAR processing is addressed and a new algorithm is presented that resolves this problem. Two new FrFT-based SAR processing algorithms are presented namely the FrRDA and the eFrCSA that are shown to improve the well-established range-Doppler and chirp-scaling algorithms for SAR processing. The performance of the algorithms are assessed using simulated and real Radarsat-1 data sets. The results confirm that the FrFT-based SAR processing methods provide enhanced resolution yielding both lower side lobes effects and improved target detection.
Original languageEnglish
Pages (from-to)503-510
Number of pages8
JournalIET Signal Processing
Volume6
Issue number5
DOIs
Publication statusPublished - 1 Jul 2012

Keywords

  • range doppler
  • chirp scaling processing
  • fractional Fourier transform
  • synthetic aperture radar data

Fingerprint Dive into the research topics of 'Range Doppler and chirp scaling processing of synthetic aperture radar data using the fractional Fourier transform'. Together they form a unique fingerprint.

Cite this