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http://dx.doi.org/10.5515/KJKIEES.2019.30.6.487

Efficient Recognition Method for Ballistic Warheads by the Fusion of Feature Vectors Based on Flight Phase  

Choi, In-Oh (Department of Electrical Engineering, Pohang University of Science and Technology)
Kim, Si-Ho (3rd R&D Institute, Agency for Defence Development)
Jung, Joo-Ho (Department of Mechanical Engineering, Pohang University of Science and Technology)
Kim, Kyung-Tae (Department of Electrical Engineering, Pohang University of Science and Technology)
Park, Sang-Hong (Department of Electronic Engineering, Pukyong National University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.30, no.6, 2019 , pp. 487-497 More about this Journal
Abstract
It is very difficult to detect ballistic missiles because of small cross-sections of the radar and the high maneuverability of the missiles. In addition, it is very difficult to recognize and intercept warheads because of the existence of debris and decoy with similar motion parameters in each flight phase. Therefore, feature vectors based on the maneuver, the micro-motion according to flight phase are needed, and the two types of features must be fused for the efficient recognition of ballistic warhead regardless of the flight phase. In this paper, we introduce feature vectors appropriate for each flight phase and an effective method to fuse them at the feature vector-level and classifier-level. According to the classification simulations using the radar signals predicted by the CAD models, the closer the warhead was to the final destination, the more improved was the classification performance. This was achieved by the classifier-level fusion, regardless of the flight phase in a noisy environment.
Keywords
Missile Recognition; Micro-Doppler; 3DFV; Ballistic Factor; Feature Fusion;
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Times Cited By KSCI : 3  (Citation Analysis)
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