Missile target automatic recognition from its decoys based on image time-series

Authors:
Zelong Wang;Fengxia Yan;Feng He;Jubo Zhu
Affiliations:
School of Science, National University of Defense Technology, Changsha 410073, China;School of Science, National University of Defense Technology, Changsha 410073, China;School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;School of Science, National University of Defense Technology, Changsha 410073, China and School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, C ...
Venue:
Pattern Recognition
Year:
2010

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Abstract

As the development of the technology for radar target recognition, missile target automatic recognition has received considerable attention in recent years. Missile target, compared with the plane target, is hard to recognize for its smallness, feebleness and maneuver. In this paper, a new recognition method based on radar image time-series, which can significantly reduce the recognition time and classification error, is proposed. The image time-series are produced by range instantaneous Doppler imaging algorithm firstly, and then cross-range scaling of the images is processed. In particular, the inertia ratio, extracted from the obtained image time-series, is introduced to distinguish the missile from decoys. Furthermore, the effectiveness of this method is demonstrated by application to simulated data and it has been shown that this method has the potential to be used in a number of real-time applications.