Geosynchronous SAR imaging algorithm research

Zegang Ding, Wei Yin, Tianyi Zhang, Ziqing Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The imaging in geosynchronous synthetic aperture radar (GEO SAR) is more difficult than that of the conventional low earth orbit (LEO) SAR. This paper discusses the problems in GEO SAR imaging, reviews the previous studies, and provides basic solutions to the remaining problems. The two-dimensional space variance of the focusing parameters in the large scene, especially in the squint mode, has not been solved completely, and further improvement for the non-linear chirp scaling method is required. The nearly zero time bandwidth product at some orbital positions of GEO SAR causes the infeasibility of the frequency domain algorithms, and a time domain compensation method can be studied to enlarge the time bandwidth product. Besides, in the long integration time of GEO SAR, the effects of non-ideal factors and the backscattering characteristics variance of the target are quite serious, and the corresponding motion compensation methods require to be studied.

Original languageEnglish
Title of host publicationICSP 2016 - 2016 IEEE 13th International Conference on Signal Processing, Proceedings
EditorsYuan Baozong, Ruan Qiuqi, Zhao Yao, An Gaoyun
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages82-86
Number of pages5
ISBN (Electronic)9781509013449
DOIs
Publication statusPublished - 2 Jul 2016
Event13th IEEE International Conference on Signal Processing, ICSP 2016 - Chengdu, China
Duration: 6 Nov 201610 Nov 2016

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume0

Conference

Conference13th IEEE International Conference on Signal Processing, ICSP 2016
Country/TerritoryChina
CityChengdu
Period6/11/1610/11/16

Keywords

  • Geosynchronous SAR imaging
  • non-ideal factors
  • slant range history
  • small time bandwidth production
  • space variance

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