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      • Department of Electrical and Electronics Engineering
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      Pulse doppler radar target recognition using a two-stage SVM procedure

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      Author
      Eryildirim, A.
      Onaran, I.
      Date
      2010-07-07
      Source Title
      IEEE Transactions on Aerospace and Electronic Systems
      Print ISSN
      0018-9251
      Publisher
      IEEE
      Volume
      47
      Issue
      2
      Pages
      1450 - 1457
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      It is possible to detect and classify moving and stationary targets using ground surveillance pulse-Doppler radars (PDRs). A two-stage support vector machine (SVM) based target classification scheme is described here. The first stage tries to estimate the most descriptive temporal segment of the radar echo signal and the target signal is classified using the selected temporal segment in the second stage. Mel-frequency cepstral coefficients of radar echo signals are used as feature vectors in both stages. The proposed system is compared with the covariance and Gaussian mixture model (GMM) based classifiers. The effects of the window duration and number of feature parameters over classification performance are also investigated. Experimental results are presented.
      Keywords
      Classification performance
      Feature parameters
      Feature vectors
      Gaussian mixture model
      Ground surveillance
      Mel-frequency cepstral coefficients
      Pulse-doppler radar
      Radar echoes
      Stationary targets
      Target classification
      Target signals
      Temporal segments
      Two stage
      Doppler effect
      Doppler radar
      Radar
      Radar target recognition
      Permalink
      http://hdl.handle.net/11693/21974
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/TAES.2011.5751269
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      • Department of Electrical and Electronics Engineering 3524
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