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Sea Clutter Suppression using EMD-SVD-FRFT Filtering

  • Beihang University

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

Abstract

Sea clutter suppression is one of the major measures to improve target detection from sea clutter. Singular value decomposition-fractional Fourier transform (SVD-FRFT) filtering is conducted to suppress sea clutter without impairing the target even when the target and first-order sea clutter are mixed in the Doppler spectrum. However, for the range cells with only sea clutter, the SVD-FRFT filtering cannot thoroughly suppress the sea clutter owe to energy concentration of sea clutter to some extent in FRFT domain, which gives rise to false alarm in target detection. To address this problem, the combination of empirical mode decomposition (EMD) and SVD-FRFT is proposed to separate target from sea clutter and pre-suppress the sea clutter. The experiment based on real measured sea echo shows that the novel method can obtain superior performance.

Original languageEnglish
Title of host publicationICCAIS 2019 - 8th International Conference on Control, Automation and Information Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123110
DOIs
StatePublished - Oct 2019
Event8th International Conference on Control, Automation and Information Sciences, ICCAIS 2019 - Chengdu, China
Duration: 23 Oct 201926 Oct 2019

Publication series

NameICCAIS 2019 - 8th International Conference on Control, Automation and Information Sciences

Conference

Conference8th International Conference on Control, Automation and Information Sciences, ICCAIS 2019
Country/TerritoryChina
CityChengdu
Period23/10/1926/10/19

Keywords

  • Singular value decomposition (SVD)
  • empirical mode decomposition (EMD)
  • sea clutter suppression
  • target detection

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