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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...
A novel approach to ground moving targets classification by using information features contained in micro-Doppler radar signatures is presented. Suggested approach is based on using discrete cosine transform (DCT) coefficients extracted from radar signature as a classification feature and multilayer perceptron (MLP) as a classifier. Proposed pattern classification algorithm was tested by utilizing...
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