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An analysis of Chosen Image Formation Algorithms for Synthetic Aperture Radar with FMCW

An analysis of Chosen Image Formation Algorithms for Synthetic Aperture Radar with FMCW Abstract The modelling of FMCW SAR systems, due to long signal duration time, commonly used start-stop approximation for pulsed radars causes errors in the image. Continuous motion of the radar platform results in additional range-azimuth couplings and range walk term that should be considered in processing of signal from this type of radar. The paper presents an analysis of the following algorithms: Time Domain Correlation (TDC), Range Doppler Algorithm (RDA), and Range Migration Algorithm (RMA). The comparison of the algorithms is based on theoretical estimation of their computation complexity and the quality of images obtained on the basis of real signals of FMCW SAR systems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Electronics and Telecommunications de Gruyter

An analysis of Chosen Image Formation Algorithms for Synthetic Aperture Radar with FMCW

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References (14)

Publisher
de Gruyter
Copyright
Copyright © 2016 by the
ISSN
2300-1933
eISSN
2300-1933
DOI
10.1515/eletel-2016-0044
Publisher site
See Article on Publisher Site

Abstract

Abstract The modelling of FMCW SAR systems, due to long signal duration time, commonly used start-stop approximation for pulsed radars causes errors in the image. Continuous motion of the radar platform results in additional range-azimuth couplings and range walk term that should be considered in processing of signal from this type of radar. The paper presents an analysis of the following algorithms: Time Domain Correlation (TDC), Range Doppler Algorithm (RDA), and Range Migration Algorithm (RMA). The comparison of the algorithms is based on theoretical estimation of their computation complexity and the quality of images obtained on the basis of real signals of FMCW SAR systems.

Journal

International Journal of Electronics and Telecommunicationsde Gruyter

Published: Dec 1, 2016

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