Correction of wide-band interference signatures in real measured synthetic aperture radar data

Mingliang Tao, Feng Zhou, Zijing Zhang

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

Abstract

Radio frequency interference is a major issue for synthetic aperture radar (SAR) imaging. Especially with the presence of wide band interference (WBI), the signal to interference and noise ratio of the measurements are greatly degraded, and thus makes it difficult to obtain high quality SAR image. In this paper, we analyzed the WBI signatures in a real measured data, and addressed the WBI mitigation problem by using the Eigensubspace filtering on the instantaneous spectra. Experimental results of the real measured data show that the proposed scheme is effective for suppressing the interference signal and for obtaining high-quality image.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2449-2452
Number of pages4
ISBN (Electronic)9781479979295
DOIs
StatePublished - 10 Nov 2015
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period26/07/1531/07/15

Keywords

  • Eigensubspace filtering
  • Synthetic aperture radar (SAR)
  • wideband interference (WBI)

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