On the use of fractional autocorrelation to correct mismatches for chirp scale focusing for real SAR image formation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The fractional Fourier transform (FrFT) was shown to be an effective signal processing technique in many synthetic aperture radar (SAR) applications, and most recently, it was used to enhance the focusing capabilities of the chirp scaling algorithm (CSA). We propose the use of the fractional autocorrelation function in a local optimization procedure to detect mismatches in the fast-time linear frequency-modulated rate and correct these mismatches with the FrFT before CSA processing. Additionally, we enhance slow-time processing with the FrFT in order to maximize the contrast of targets in each range-bin. As we will demonstrate using SAR images, this processing increase SAR image quality.

Original languageEnglish (US)
Title of host publicationConference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Pages2084-2088
Number of pages5
DOIs
StatePublished - Dec 1 2011
Event45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States
Duration: Nov 6 2011Nov 9 2011

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Country/TerritoryUnited States
CityPacific Grove, CA
Period11/6/1111/9/11

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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