期刊文献+

不同坐标系下中段弹道目标跟踪算法研究 被引量:7

A Study on Ballistic Target Tracking in Midcourse of Various Coordinate Systems
下载PDF
导出
摘要 弹道目标跟踪比较复杂,文中结合具体的坐标系推导滤波算法中各方程的解析表达式,并分析比较坐标系的影响,对工程应用有重要的意义。以"二体运动"方程为基础,通过坐标变换、二次求导等方法推导了球坐标系下的目标加速度。针对混合坐标系和球坐标系,给出了中段弹道目标的动力学方程和量测方程,并对采用扩展卡尔曼滤波所需要的关键函数给出了显式表达。对两种坐标系下的弹道目标跟踪进行了蒙特卡洛仿真,仿真结果表明按照本文推导的公式,2种坐标系下都能有效跟踪;但与直观的猜测相反-混合坐标系下的跟踪优于球坐标系下的跟踪。 The complexity of ballistic target tracking makes it of great value to engineering application to derive the analytical equa- tions of the filter algorithm in a given coordinate system and analyze its effect on the tracking accuracy. Based on "two-body" equa- tion of motion, the ballistic target acceleration in spherical coordinates is derived from the transformation of coordinates and second derivation. Both the dynamic equations and measurement equations in the mixed and spherical coordinates are presented and the key function in extended Kalman filter is described analytically. Monte-Carlo simulation run for the ballistic target tracking indi- cates that the ,equations proposed in this paper are effective in both coordinates, but contrary to our intuition, tracking in the mixed coordinates is superior to that in the spherical coordinates.
机构地区 中国人民解放军
出处 《现代雷达》 CSCD 北大核心 2011年第5期54-59,共6页 Modern Radar
基金 中国博士后科学基金面上资助项目(20080441299) 中国博士后科学基金特别资助项目(200902672)
关键词 球坐标系 混合坐标系 弹道目标 动力学方程 跟踪 spherical coordinate system mixed system ballistic target in midcourse dynamic equations tracking
  • 相关文献

参考文献16

  • 1Li X P, Jilkov V P. A survey of maneuvering target track- ing-Part III: Measurement Models [ C ]// Proccedings of SPIE Conference on Signal and Data Processing of Small Targets. San Diego, CA, USA:SPIE Press, 2001. 被引量:1
  • 2Seong-Taek Park, Jang Gyu Lee. Improved kalman filter design for three-dimensional radar tracking[ J]. IEEE Transactions on Aerospace and Electronic Systems, 2001,37 (2) : 727 - 739. 被引量:1
  • 3Bath W G, Castella F R, Haase S F. Techniques for filtering range and angle measurements from colocated surveil- lance radars[ C]// 1980 IEEE International Radar Confer- ence. Arlington, VA :IEEE Press, 1980. 被引量:1
  • 4Lawton J A, Jesionowski R J, Zarchan P. Comparison of four filtering options for a radar tracking problem [ J ]. AIAA Journal of Guidance, Control and Dynamics, 1998, 21 (4) : 618 -623. 被引量:1
  • 5Costa P J. Adaptive model architecture and extended Kalman-bucy filters[ J ]. IEEE Transactions on Aerospace and Electronic Systems, 1994,30(2) : 525 - 533. 被引量:1
  • 6Mehra R K. A comparison of several nonlinear filters for reentry vehicle tracking[ J ] . IEEE Transactions on Automatic Control, 1971, AC-16(4) : 307-319. 被引量:1
  • 7Balakrishnan S N, Speyer J L. Coordinate-transformation- based filter for improved target tracking [ J ]. AIAA Journal of Guidance, 1986,9(6) :704 -709. 被引量:1
  • 8Brookner E. Tracking and Kalman filtering made easy[ M ]. New York:John Wiley & Sons, Inc. , 1989. 被引量:1
  • 9Siouris G M, Chen G, Wang J. Tracking an incoming ballistic missile using an extended interval Kalman filter [ J ]. IEEE Transactions on Aerospace and Electronic Systems, 1997,33 ( 1 ) :232 - 240. 被引量:1
  • 10Chang C B, Whiting R H, Athans M. On the state and parameter estimation for maneuvering reentry vehicles [ J ]. IEEE Transactions on Automatic Control, 1977,22(2) :99 - 105. 被引量:1

二级参考文献4

  • 1[1]Bar-Shalom Y, Li Xiaolong. Estimation and tracking: Principles, techniques and software[M]. Boston: Artech House, 1993. 被引量:1
  • 2[2]Farina A, Pardini S, Barontini G. Application of nonline filtering theory to a track-while-scan problem[Z]. 1st Int Conf Information Sciences and Systems. Patras, Italy, 1976. 被引量:1
  • 3[3]Farina A, Pardini S. Tracking-while-scan algorithm in a clutter environment[J]. IEEE Trans On AES, 1978,AES-14(5):769-778. 被引量:1
  • 4[4]Jazwinski A H. Stochastic process and filtering theory[M]. San Diego CA: Academic Press, 1970. 被引量:1

共引文献14

同被引文献55

  • 1占荣辉,郁春来,万建伟.简化UKF算法在单站无源目标跟踪中的应用[J].现代雷达,2007,29(3):42-46. 被引量:8
  • 2X L Li. A survey of maneuvering target tracking. Part II: motion models of ballistic and space targets [ ] ]. IEEE Trans. on Aero- space and Electronic Systems, 2010,46( 1 ) :96 -115. 被引量:1
  • 3D L Peng, Y Gu. IMM Algorithm for a 3D High Maneuvering tar- get Tracking[ J]. Lecture Notes in Computer Science, 2011,6729 (1) : 529 -536. 被引量:1
  • 4Ashraf M. Aziz.??Fuzzy track-to-track association and track fusion approach in distributed multisensor–multitarget multiple-attribute environment(J)Signal Processing . 2007 (6) 被引量:1
  • 5Mucci R,Arnold J,Bar-Shalom Y.Track segment association with a distributed field of sensors. . 1985 被引量:1
  • 6Zhengzhou Li,Jing Chen,Yuanshan Gu,Lan Tang,Zhen Dai,Hongxia Fu,Ruzhang Li,Changju Liu,Gang Jin.??Small moving infrared space target tracking algorithm based on probabilistic data association filter(J)Infrared Physics and Technology . 2014 被引量:1
  • 7Liang-qun Li,Wei-xin Xie.??Bearings-only maneuvering target tracking based on fuzzy clustering in a cluttered environment(J)AEUE - International Journal of Electronics and Communications . 2013 被引量:1
  • 8Ashraf M. Aziz.??A new nearest-neighbor association approach based on fuzzy clustering(J)Aerospace Science and Technology . 2012 被引量:1
  • 9巫春玲,韩崇昭.用于弹道目标跟踪的有限差分扩展卡尔曼滤波算法[J].西安交通大学学报,2008,42(2):143-146. 被引量:32
  • 10周红波,耿伯英.基于转换测量卡尔曼滤波算法的目标跟踪研究[J].系统仿真学报,2008,20(3):682-684. 被引量:3

引证文献7

二级引证文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部