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Classification of ground moving radar targets by using joint time-frequency analysis

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4 Author(s)
Pavlo Molchanov ; Department of Signal Processing, Tampere University of Technology, Tampere, Finland ; Jaakko Astola ; Karen Egiazarian ; Alexander Totsky

In this report, two novel algorithms for ground moving target classification using additional information features related to the radial velocity variability are proposed and studied. These approaches are compared with feature extraction method based on linear prediction model and cepstrum coefficients. Results of computer simulations performed by exploiting real-life radar backscattering signal records with different decision making concepts demonstrate the benefits of suggested approach.

Published in:

2012 IEEE Radar Conference

Date of Conference:

7-11 May 2012