A robust two-parameter CFAR detector for skywave radar ship detection

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

Abstract

Ship detection with constant false alarm rate (CFAR) detection is a key problem in skywave radar. This paper proposes a robust two-parameter CFAR detector for ship detection in nonhomogeneous Weibull distributed clutter, where the scale parameter is estimated by the weighted amplitude iteration (WAI) of samples in the reference window and the shape parameter is calculated using the empirical formula related to the scale parameter. Considering that the detection process of skywave radar is performed in the range Doppler (RD) map, a cross-shape window with greatest-of method is applied in this paper. The superiority of the proposed CFAR detector, which is applicable to the nonstationary and heterogenous Weibull distributed clutter, is investigated and verified by simulations and experimental data.

Original languageEnglish
Title of host publication2019 IEEE Radar Conference, RadarConf 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728116792
DOIs
StatePublished - Apr 2019
Event2019 IEEE Radar Conference, RadarConf 2019 - Boston, United States
Duration: 22 Apr 201926 Apr 2019

Publication series

Name2019 IEEE Radar Conference, RadarConf 2019

Conference

Conference2019 IEEE Radar Conference, RadarConf 2019
Country/TerritoryUnited States
CityBoston
Period22/04/1926/04/19

Keywords

  • Constant false alarm rate
  • Ship detection
  • Skywave radar
  • Weibull distribution
  • Weighted amplitude iteration

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