Suppression of narrow-band interference in SAR data

Feng Zhou, Mingliang Tao, Zheng Bao

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

5 Scopus citations

Abstract

Narrow-band interference (NBI) poses a hindrance to high quality imaging for synthetic aperture radar (SAR). In this paper, we addressed the NBI suppression problem by introducing two advanced techniques: the complex empirical mode decomposition (CEMD) and the independent component analysis (ICA). Both of these two methods utilize the statistical difference between the useful radar echoes and NBI. They decompose the contaminated pulse into some basis signals, and select out the basis that corresponding to NBI. Then the contribution of NBI is excised by filtering out the corresponding NBI components. We compare the performance of these advanced methods with the conventional notching filtering method. The experimental results of the real dataset show the effectiveness of the proposed methods.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-230
Number of pages4
ISBN (Electronic)9781479957750
DOIs
StatePublished - 4 Nov 2014
Externally publishedYes
EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada
Duration: 13 Jul 201418 Jul 2014

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

ConferenceJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/TerritoryCanada
CityQuebec City
Period13/07/1418/07/14

Keywords

  • complex empirical mode decomposition (CEMD)
  • independent component analysis (ICA)
  • narrow-band interference (NBI)
  • synthetic aperture radar (SAR)

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