Signal decomposition for wind turbine clutter mitigation

Faruk Uysal, Unnikrishna Pillai, Ivan Selesnick, Braham Himed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper addresses the problem of dynamic clutter mitigation by focusing on the mitigation of the wind turbine clutter from the radar data. The basis pursuit and morphological component analysis approach are used to decompose the radar returns into the sum of oscillatory and transient components. The success of the morphological component analysis rely on sparsity, thus different transform domains needs to be identified correctly to represent each component sparsely. The method is illustrated on a radar data collected from a small custom built radar system to show the success of the proposed algorithm for wind turbine clutter mitigation.

Original languageEnglish (US)
Title of host publication2014 IEEE Radar Conference
Subtitle of host publicationFrom Sensing to Information, RadarCon 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages60-63
Number of pages4
ISBN (Print)9781479920341
DOIs
StatePublished - 2014
Event2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States
Duration: May 19 2014May 23 2014

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Other

Other2014 IEEE Radar Conference, RadarCon 2014
CountryUnited States
CityCincinnati, OH
Period5/19/145/23/14

Keywords

  • Signal decomposition
  • sparse signal representation
  • wind turbine clutter mitigation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Uysal, F., Pillai, U., Selesnick, I., & Himed, B. (2014). Signal decomposition for wind turbine clutter mitigation. In 2014 IEEE Radar Conference: From Sensing to Information, RadarCon 2014 (pp. 60-63). [6875555] (IEEE National Radar Conference - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2014.6875555