稀薄大气层内目标群运动特征及识别研究
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摘要
针对稀薄大气中真假弹头识别的问题,通过对弹头及轻诱饵目标群在稀薄大气层中的运动特性的仿真,提取了诱饵相对弹头的运动特征,分析了稀薄大气层内弹头与诱饵相对位置和相对速度的变化规律,提出了在稀薄大气层内利用相对位置和相对速度的二维特征识别真假弹头的新思路。典型算例的仿真结果验证了这种思路的可行性。
Aiming at the missile recognition problem in thin atmosphere,the decoy's motion feature relative to warhead is extracted,and the trend of relative location and relative velocity between warhead and decoys is analyzed on the basis of the simulation of the motion characteristic of warhead and light decoy in thin atmosphere. Then a new idea that the real or false warhead can be recognized by two-dimensional feature comprised of relative location and relative velocity in thin atmosphere is proposed. The feasibility of this idea is verified by simulation results with some typical examples.
Aiming at the missile recognition problem in thin atmosphere,the decoy's motion feature relative to warhead is extracted,and the trend of relative location and relative velocity between warhead and decoys is analyzed on the basis of the simulation of the motion characteristic of warhead and light decoy in thin atmosphere. Then a new idea that the real or false warhead can be recognized by two-dimensional feature comprised of relative location and relative velocity in thin atmosphere is proposed. The feasibility of this idea is verified by simulation results with some typical examples.
引文
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[2]MEHRA R K.A Comparison of Several Nonlinear Filters for Reentry Vehicle Tracking[J].IEEE Trans.On Automatic Control,1971,AC-16(4):307-319.
[3]JESIONOWSKI R,ZARCHAN P.Comparison of Filtering Options for Ballistic Coefficient Estimation[R].ADA355740,1998.
[4]杨华波,张士峰,蔡洪.再入飞行器弹道系数的自适应估计[J].现代防御技术,2003,31(5):18-22.YANG Hua-bo,ZHANG Shi-feng,CAI Hong.Adaptive Estimation of Trajectory Coefficient for Reentry Aerocraft[J].Modern Defense Technology,2003,31(5):18-22.
[5]金文彬,刘永祥,黎湘,等.再入目标质阻比估计算法研究[J].国防科技大学学报,2004,26(5):46-51.JIN Wen-bin,LIU Yong-xiang,LI Xiang,et al.Research on Estimation of Mass-to-Drag Ratio of Reentry Objects[J].Journal of National University of Defense Technology,2004,26(5):46-51.
[6]张泓.再入目标弹道系数的估计、辨识、建模及其数学仿真研究[D].长沙:国防科技大学研究生院,2006.ZHANG Hong.Estimate,Discriminate,Modeling and Mathematics Simulation Research of Ballistic Coefficient for Reentry Object[D].Changsha:Graduate School of National University of Defense Technology,2006.
[7]胡国旭,姚汉英,钱李昌,等.基于RK-UKF算法的再入目标质阻比估计[J].空军雷达学院学报,2011,25(6):404-408.HU Guo-xu,YAO Han-ying,QIAN Li-chang,et al.Estimation of Mass-to-Drag Ratio of Reentry Objects Based on RK-UKF Algorithm[J].Journal of Air Force Radar Academy,2011,25(6):404-408.
[8]唐毓燕,黄培康.稀薄大气层内轻诱饵速度识别法[J].系统工程与电子技术,2008,30(5):835-838.TANG Yu-yan,HUANG Pei-kang.Light Decoy Velocity Recognition Method in Thin Atmosphere[J].System Engineering and Electronics,2008,30(5):835-838.
[9]宗志伟.再入弹道目标跟踪与质阻比识别方法研究[D].长沙:国防科技大学研究生院,2010.ZONG Zhi-wei.Research on Tracking and Discrimination Methods Based on Mass-to-Drag Ratio for Reentry Ballistic Targets[D].Changsha:Graduate School of National University of Defense Technology,2006.
[10]NORMAN S,SIDNEY T.U.S.Standard Atmosphere.1976[R].ADA035728,U.S.Air Force,Washinton,1976.
[11]VAPNIK V.An Overview of Statistical Learning Theory[J].IEEE Transactions on Neural Networks,1995,10(5):988-999.
[12]张学工.关于统计学习理论与支持向量机[J].自动化学报,2000,26(1):32-42.ZHANG Xue-gong.Introduction to Statistical Learning Theory and Support Vector Machines[J].Acta Automatica Sinica,2006,26(1):32-42.