Discrete wavelet design for target classification in pulse-doppler surveillance radar

Michael Mesarcik, Simon Lewis, Amit Mishra, Jan Pidanic, Karel Juryca

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

Wavelets are powerful signal classification tools that show promise for classification in Pulse-Doppler radar applications. A wavelet decomposition of match filtered radar data is performed for a surveillance radar in the Czech Republic. A custom discrete wavelet is designed based on the range profiles of the dataset with and without targets and clutter present. The entropy and energy for different levels of the DWT decomposition are used to determine the presence of various targets. Targets are differentiated from static clutter by thresholding the DWT decomposition levels.

Original languageEnglish
Title of host publication2019 29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 - Microwave and Radio Electronics Week, MAREW 2019
PublisherIEEE Press
Number of pages6
ISBN (Electronic)9781538693223
DOIs
Publication statusPublished - 10 Jun 2019
Externally publishedYes
Event29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 - Pardubice, Czech Republic
Duration: 16 Apr 201918 Apr 2019

Publication series

Name2019 29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 - Microwave and Radio Electronics Week, MAREW 2019

Conference

Conference29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019
Country/TerritoryCzech Republic
CityPardubice
Period16 Apr 201918 Apr 2019

Keywords

  • Discrete Wavelets
  • Pulse Doppler radar
  • Radar classification

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