Feature extraction for radar target recognition using time sequences of radar cross section measurements

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

Abstract

The radar cross section (RCS) signatures are not only related to the scattering structure of targets, but also related to the modulation of target micro-motion. In this paper, a feature extraction procedure for radar target recognition based on Mellin transform of the time sequences of RCS measurements is proposed. The mathematical relationship between target scattering distribution in the cross range and the RCS amplitude is derived and analyzed. The RCS features of targets are extracted using sequential method. Finally the feasibility of target recognition using Mellin transform and the accuracy of the algorithm are shown by simulated data sets.

Original languageEnglish
Title of host publicationProceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013
Pages1583-1587
Number of pages5
DOIs
StatePublished - 2013
Event2013 6th International Congress on Image and Signal Processing, CISP 2013 - Hangzhou, China
Duration: 16 Dec 201318 Dec 2013

Publication series

NameProceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013
Volume3

Conference

Conference2013 6th International Congress on Image and Signal Processing, CISP 2013
Country/TerritoryChina
CityHangzhou
Period16/12/1318/12/13

Keywords

  • Mellin transform
  • RCS
  • Radar signatures
  • Scattering distribution

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