Pseudo-Zernike moments based radar micro-Doppler classification

Luca Pallotta, Carmine Clemente, Antonio De Maio, John J. Soraghan, Alfonso Farina

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

8 Citations (Scopus)

Abstract

Reliable micro-Doppler signature classification requires the use of robust features describing uniquely the micromotion. Moreover, future applications of micro-Doppler classification will require meaningful representation of the observed target by using a limited set of values. In this paper the application of the pseudo-Zernike moments for micro-Doppler classification is introduced demonstrating the effectiveness of the proposed approach by classifying real data. The use of pseudo-Zernike moments allows invariant features to be obtained that are able to discriminate the content of two-dimensional matrices with a small number of coefficients.

Original languageEnglish
Title of host publication2014 IEEE Radar Conference
PublisherIEEE
Pages850-854
Number of pages5
ISBN (Print)978-1-4799-2034-1
DOIs
Publication statusPublished - May 2014
Event2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States
Duration: 19 May 201423 May 2014

Conference

Conference2014 IEEE Radar Conference, RadarCon 2014
CountryUnited States
CityCincinnati, OH
Period19/05/1423/05/14

Keywords

  • Doppler radar
  • Zernike polynomials
  • radar signal processing
  • signal classification

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