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基于中心差分的机动辐射源单站被动跟踪算法

杨争斌 郭福成 周一宇

杨争斌, 郭福成, 周一宇. 基于中心差分的机动辐射源单站被动跟踪算法[J]. 电子与信息学报, 2008, 30(12): 2871-2875. doi: 10.3724/SP.J.1146.2007.00947
引用本文: 杨争斌, 郭福成, 周一宇. 基于中心差分的机动辐射源单站被动跟踪算法[J]. 电子与信息学报, 2008, 30(12): 2871-2875. doi: 10.3724/SP.J.1146.2007.00947
Yang Zheng-Bin, Guo Fu-Cheng, Zhou Yi-Yu. Central Difference Based Maneuvering Emitter Tracking with a Single Passive Observer[J]. Journal of Electronics and Information Technology, 2008, 30(12): 2871-2875. doi: 10.3724/SP.J.1146.2007.00947
Citation: Yang Zheng-Bin, Guo Fu-Cheng, Zhou Yi-Yu. Central Difference Based Maneuvering Emitter Tracking with a Single Passive Observer[J]. Journal of Electronics and Information Technology, 2008, 30(12): 2871-2875. doi: 10.3724/SP.J.1146.2007.00947

基于中心差分的机动辐射源单站被动跟踪算法

doi: 10.3724/SP.J.1146.2007.00947

Central Difference Based Maneuvering Emitter Tracking with a Single Passive Observer

  • 摘要: 针对机动辐射源的单站被动跟踪问题,结合中心差分滤波(central difference filter)方法,该文提出了一种基于中心差分的交互多模型(IMM)机动目标跟踪算法,无需计算基于EKF(Extended Kalman Filter)方法所需的Jacobian矩阵,易于实现。将传统IMM算法中协方差的传递改造为平方根滤波形式,数值稳定性更好。将该算法应用到联合利用径向加速度和角度信息的单站定位系统,与基于EKF的IMM算法和基于UT(Unscented Transformation)的IMM算法仿真比较表明,该文算法和基于UT的IMM算法性能相当,比基于EKF的算法具有更高的跟踪精度。
  • [1] Becker K. Three-dimension target motion analysis usingangle and frequency measurements[J].IEEE Trans. onAerospace and Electronic Systems.2005, 41(1):284-301 [2] 孙仲康. 基于运动学原理的无源定位技术. 制导与引信, 2001,22(1): 40-44.Sun Zhong-Kang. Passive positioning technology based onkinematics. Guide and Fuze, 2001, 22(1): 40-44. [3] 郭福成. 基于运动学原理的单站无源定位与跟踪关键技术研究. [博士论文], 长沙: 国防科技大学研究生院, 2002.Guo Fu-cheng. Research on key technology of kinetics basedpassive location by a single passive observer. [Ph.D.dissertation], Changsha: Graduate school of nationaluniversity of defense technology, 2002. [4] 冯道旺, 李宗华, 周一宇. 一种单站无源定位方法及其可观测性分析. 国防科技大学学报, 2004, 26(1): 68-71.Feng Dao-wang, Li Zong-hua, and Zhou Yi-yu. A new singleobserver passive location and tracking technology and itsobservability analysis. Journal of Dational University ofDefense Technology, 2004, 26(1): 68-71. [5] 郭福成, 孙仲康. 三维机动辐射源的单站无源跟踪算法. 现代雷达. 2005. 27(3): 5-8.Guo Fu-cheng and Sun Zhong-kang. Tracking algorithm of3-D maneuvering emitter with a passive single observingstation. Modern Radar, 2005, 27(3): 5-8. [6] 郭福成, 孙仲康. 基于离心加速度信息的单站无源测距定位方法. 宇航学报, 2005, 26(增刊): 55-58.Guo Fu-cheng and Sun Zhong-kang. Single observer passiveranging and location method using radial accelerationinformation. Journal of Astronautics, 2005, 26(sup): 55-58. [7] Schei T S. A finite difference method for linearization innonlinear eatimation algorithms. Automatica, 1997, 33 (11):2051-2058. [8] Norgaard M, Poulsen N K, and Ravn O. New developmentsin state estimation for nonlinear system. Automatica. 2000,36(11): 1627-1638. [9] Ito K and Xiong K. Gaussian filters for nonlinear filteringproblems[J].IEEE Trans. on Automatic Control.2000, 45(5):910-927 [10] Julier S J and Uhlmann J K. Unscented filtering andnonlinear estimation[J].Proc. IEEE.2004, 92(3):401-422 [11] Li X R and Jilkov V P. Survey of maneuvering targettracking. Part I: Dynamic models. IEEE Trans. onAerospace and Electronic Systems, 2003, 39(4): 1333-1364. [12] Li X R and Jilkov V P. A survey of maneuvering targettracking. Part V: Multiple-model methods. IEEE Trans. onAerospace and Electronic Systems, 2005, 41(4): 1255-1321.
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出版历程
  • 收稿日期:  2007-06-15
  • 修回日期:  2007-12-12
  • 刊出日期:  2008-12-19

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