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PHAF based on FLOS and Its application to the autofocus of hybrid SAR

  • Yong Bian*
  • , Yinqing Zhou
  • , Chunsheng Li
  • *Corresponding author for this work
  • Beihang University

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

Abstract

In this paper, we extend the product high-order ambiguity function (PHAF) to PHAF based on fractional lower order statistics (FLOS) (PHAF_FLOS). The PHAF_FLOS can get a better performance in the stable noise environment than PHAF. The PHAF_FLOS can get a good result when estimate the parameters of multi-component polynomial signals not only under the Gaussian noise but also under the stable noise case. Because the real SAR signal is more similar to be the α stable distribution than the Gaussian distribution [4], we use the PHAF_FLOS in the autofocus of hybrid SAR.

Original languageEnglish
Title of host publication25th Anniversary IGARSS 2005
Subtitle of host publicationIEEE International Geoscience and Remote Sensing Symposium
Pages4662-4665
Number of pages4
DOIs
StatePublished - 2005
Event2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
Duration: 25 Jul 200529 Jul 2005

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume7

Conference

Conference2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
Country/TerritoryKorea, Republic of
CitySeoul
Period25/07/0529/07/05

Keywords

  • Autofocus
  • Fractional lower order statistics(FLOS)
  • Hybrid SAR
  • Product high-order ambiguity function (PHAF)

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