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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.
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Molchanov et al. (2012) studied this question.
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