Classification of the Front Body of a Missile and Debris in
                        Boosting Part Separation Phase Using Periodic and Statistical Properties of
                        Dynamic RCS

Choi, Young-Jae; Choi, In-Sik; Shin, Jinwoo; Chung, Myungsoo

doi:10.5515/kjkiees.2018.29.7.540

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…본 논문에서는 기존에 저자들이 탄두와 기만체 간의 변 별을 위하여 제안하였던 고유 특성벡터들(e.g. 기동기반 특성벡터 [2] 및 미세운동기반 특성벡터 [3] )을 사용하여, 비행 표 1. 탄두, 기만체 및 연료 탱크의 특징 [7], [8] .…”

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

Choi¹,

Kim²,

Jung³

et al. 2019

J. Korean Inst. Electromagn. Eng. Sci.

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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.

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