Abstract:This paper focuses on Two-Dimensional (2D) geometric feature inversion method of midcourse targets, serving for the target recognition problem of ballistic missile defense system. Based on the figuration characteristic of midcourse targets, the regular pattern of radial dimension is analyzed with respect to different intervals, the mapping relationships between HRRP under various target attitudes and the 2D geometric feature of target are established, then an 2D geometric feature inversion method for midcourse targets based on HRRPs is proposed accordingly. The method can estimate stably the 2D geometric feature of midcourse targets during the midcourse flight, which is verified by the simulation experiments with electromagnetic computed data and measured data in anechoic chamber.
FENG Cunqian, LI Jingqing, HE Sisan, et al. Micro-Doppler feature extraction and recognition based on NettedRadar for ballistic targets[J]. Journal of Radars, 2015, 4(6): 609-620. doi: 10.12000/JR15084.
ZHANG Guoliang, YANG Chunling, and WANG Jianlai. Discrimination of exo-atmospheric targets based on optimization of probabilistic neural network and IR multispectral fusion[J]. Journal of Electronics & Information Technology, 2014, 36(4): 896-902. doi: 10.3724/SP.J.1146. 2013.00623.
JU Yanwei and ZHANG Shiyuan. Overview of development for anti-missile system and target recognition technique[J]. Modern Radar, 2016, 38(4): 8-14. doi: 10.16592/j.cnki.1004- 7859.2016.04.002.
[5]
CAMP W W, MAYHAN J T, and O’DONNELL R M. Wideband radar for ballistic missile defense and range- Doppler imaging of satellites[J]. The Lincoln Laboratory Journal, 2000, 12(2): 267-280.
[6]
DELANCEY W P and WARD W W. Radar development at Lincoln laboratory: An overview of the first fifty years[J]. The Lincoln Laboratory Journal, 2000, 12(2): 147-166.
[7]
LAMINAS W Z and GROMETSTEIN A A. Overview of the Lincoln laboratory ballistic missile defense program[J]. The Lincoln Laboratory Journal, 2002, 13(1): 9-32.
AI Xiaofeng, ZOU Xiaohai, LI Yongzhen, et al. Feature extraction of precession and structure of cone-shaped object based on time-HRRP distribution[J]. Journal of Electronics & Information Technology, 2011, 33(9): 2083-2088. doi: 10.3724/SP.J.1146.2011.00097.
YAO Hanying, SUN Wenfeng, and MA Xiaoyan. Precession and structure parameters estimation of cone-cylinder target based on the HRRPs[J]. Journal of Electronics & Information Technology, 2013, 35(3): 537-544. doi: 10.3724/SP.J.1146. 2012.00978.
SHU Changyong, CHEN Shichun, WU Hongqian, et al. Precession and structure parameters estimation of precession cone target based on ISAR image sequence[J]. Journal of Electronics & Information Technology, 2015, 37(5): 1078-1084. doi: 10.11999/JEIT141061.
XU Shaokun, LIU Jihong, YUAN Xiangyu, et al. Two- dimensional geometric feature inversion method for midcourse target based on ISAR image[J]. Journal of Electronics & Information Technology, 2015, 37(2): 339-345. doi: 10.11999/JEIT140338.
[13]
XU S K, LIU J H, WEI X Z, et al. Wideband electromagnetic characteristic modeling and analysis of missile targets in ballistic midcourse[J]. Science China Technological Sciences, 2012, 55(6): 1655-1666. doi: 10.1007/s11431-012-4864-z.
LI Xinchao, LI Binbin, HU Junhong, et al. Review for feature extraction of ballistic targets based on HRRP[J]. Modern Defense Technology, 2015, 43(5): 142-150. doi: 10.3969/j.issn. 1009-086x.2015.05.024.
[15]
LEI P, SUN J P, WANG J, et al. Micro-motion parameter estimation of free rigid targets based on radar micro-Doppler [J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(10): 3776-3786. doi: 10.1109/TGRS.2012.2185244.
LI Jingqing, FENG Cunqian, LONG Genong, et al. Feature extraction of ballistic targets based on multistatic micro- Doppler fusion[J]. Systems Engineering and Electronic, 2016, 38(7): 1549-1554. doi: 10.3969/j.issn.1001-506X.2016.07.1.