Browse > Article
http://dx.doi.org/10.5515/KJKIEES.2018.29.7.540

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 (Department of Electronic Engineering, Hannam University)
Choi, In-Sik (Department of Electronic Engineering, Hannam University)
Shin, Jinwoo (Agency for Defense Development)
Chung, Myungsoo (Agency for Defense Development)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.29, no.7, 2018 , pp. 540-549 More about this Journal
Abstract
Classifying the front body of the missile and debris of a high-speed missile in intercepting a high-speed missile is an important issue. The motion of the front body of the missile is characterized by precession, but the motion of the debris in the boosting part separation phase is characterized by tumbling. There are periodic patterns caused by the precession or tumbling motion on the dynamic radar cross section (RCS). In addition, there are statistical properties caused by the change pattern of the dynamic RCS. A method is proposed to classify the front body of the missile and debris using periodic and statistical properties of the dynamic RCS. Three kinds of feature vector are extracted from the periodic and statistical properties of the dynamic RCS. The front body of the missiles and debris was classified using a support vector machine.
Keywords
Radar; Micro-Doppler; Ballistic Missile; Dynamic RCS; SVM;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 강인영, "초음속 회전-안정 비행체의 형상이 안정성 및 정확도에 미치는 영향분석," 부산대학교 산업대학원 석사학위논문, 2003년, p. 72.
2 K. Y. Guo, Q. Li, and X. Q. Sheng, "A precise recog- nition method of missile warhead and decoy in multi-target scene," Journal of Electromagnetic Waves and Applications, vol. 24, no. 5-6, pp. 641-652, 2010.   DOI
3 Z. Wang, F. Yan, F. He, and J. Zhu, "Missile target automatic recognition from its decoys based on image time-series," Pattern Recognition, vol. 43, no. 6, pp. 2157-2164, Jun. 2010.   DOI
4 L. Liu, D. McLernon, M. Ghogho, W. Hu, and J. Huang, "Ballistic missile detection via micro-Doppler frequency estimation from radar return," Digital Signal Processing, vol. 22, no. 1, pp. 87-95, Jan. 2012.   DOI
5 I. O. Choi, S. H. Kim, J. H. Jung, K. T. Kim, and S. H. Park, "An efficient method to extract the micro-motion parameter of the missile using the time-frequency image," The Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 27, no. 6, pp. 557-565, Jul. 2016.   DOI
6 I. O. Choi, K. B. Kang, S. H. Kim, J. H. Jung, K. T. Kim, and S. H. Park, "Performance analysis of the discrimination between space-targets using the maneuvering," The Journal of Korean Institute of Information Technology, vol. 15, no. 11, pp. 55-63, Nov. 2017.
7 L. Liu, X. Du, M. Ghogho, W. Hu, and D. McLernon, "Precession missile feature extraction using sparse Journal on Advances in Signal Processing, vol. 2012, no. 1, p. 24, 2012.   DOI
8 A. R. Persico, C. Clemente, D. Gaglione, C. V. Ilioudis, J. Cao, and L. Pallotta, et al., "On model, algorithms, and experiment for micro-Doppler-based recognition of ballistic targets," IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 3, pp. 1088-1108, Jun. 2017.   DOI
9 R. L. McCoy, Modern Exterior Ballistics: The Launch and Flight Dynamics of Symmetric Projectiles, Schiffer Publishing Ltd, 1998.
10 S. Hui-Xia, L. Zheng, and X. Ning, "Ballistic missile warhead recognition based on micro-Doppler frequency," Defence Science Journal, vol. 58, no. 6, p. 705, 2008.   DOI
11 L. Liu, P. Zhong, X. Li, C. Dai, H. Huang, and Y. Li, "Research on dynamic RCS characteristics of ballistic missile with micro-motion," in 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP), Singapore, 2017, pp. 10-14.