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Micro-Doppler based recognition of ballistic targets using 2D gabor filters

Persico, Adriano Rosario and Clemente, Carmine and Ilioudis, Christos V. and Gaglione, Domenico and Cao, Jianlin and Soraghan, John (2015) Micro-Doppler based recognition of ballistic targets using 2D gabor filters. In: 2015 Sensor Signal Processing for Defence (SSPD). IEEE, Piscataway, NJ, pp. 1-5. ISBN 9781479974436

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The capability to recognize ballistic threats, is a critical topic due to the increasing effectiveness of resultant objects and to economical constraints. In particular the ability to distinguish between warheads and decoys is crucial in order to mitigate the number of shots per hit and to maximize the ammunition capabilities. For this reason a reliable technique to classify warheads and decoys is required. In this paper the use of the micro-Doppler signatures in conjunction with the 2-Dimensional Gabor filter is presented for this problem. The effectiveness of the proposed approach is demonstrated through the use of real data.