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Ionospheric clutter mitigation with knowledge aided pre-whiten in High Frequency Surface Wave Radar

  • Lei Li*
  • , Rongqing Xu
  • , Gaopeng Li
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

Ionospheric clutter has proven to be the greatest impediment in high frequency surface wave radar (HFSWR). It influences most range bins, all Doppler bins and beams. Knowledge-aided ionospheric clutter mitigation using multiple coherent processing interval (CPI) data was described. The approach is based on estimation of the near vertical incidence clutter by past CPI data to provide improved knowledge of clutter statistics. Knowledge aided prewhitening filter was used to cancel both near vertical incidence clutter and the range wrap clutter. Experimental results demonstrate that the algorithm is able to suppress the ionospheric clutter whilst preserving the desired characteristics of the target echoes.

Original languageEnglish
Title of host publicationIEEE 2007 Radar Conference
Pages558-561
Number of pages4
DOIs
StatePublished - 2007
EventIEEE 2007 Radar Conference - Waltham, MA, United States
Duration: 17 Apr 200720 Apr 2007

Publication series

NameIEEE National Radar Conference - Proceedings

Conference

ConferenceIEEE 2007 Radar Conference
Country/TerritoryUnited States
CityWaltham, MA
Period17/04/0720/04/07

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