Vibrating micro-doppler signature extraction from SAR data using singular value decomposition

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

15 Citations (Scopus)


The effect of target micro-motions on the Synthetic Aperture Radar signal results in micro-Doppler target signatures. These micro-Doppler signatures can be a useful source of information for target classification. However the presence of stationary target and noise in the scene makes the extraction of the micro-Doppler signature a difficult challenge. In this
paper a micro-Doppler signature extraction method based on the Singular Value Decomposition is applied to extract the target micro-Doppler features from the received SAR signal. The effectiveness of the proposed approach is confirmed through simulations.
Original languageEnglish
Title of host publication9th European Conference on Synthetic Aperture Radar, 2012. EUSAR
Number of pages4
Publication statusPublished - Apr 2012
EventEuropean SAR conference 2012 - Nuremberg, Germany
Duration: 23 Apr 201226 Feb 2015


ConferenceEuropean SAR conference 2012


  • doppler effect
  • clutter
  • eigenvalues and eigenfunctions
  • logic gates
  • time frequency analysis


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