简化UKF在机载IRST系统被动测距中的应用

冯国强; 李战武; 柳毅

电光与控制, 2012, 19 (2): 63, 网络出版: 2012-02-20

简化UKF在机载IRST系统被动测距中的应用

Application of Simplified UKF in Airborne IRST Passive Ranging

论文大纲

冯国强 ^1,2李战武 ¹柳毅 ²

作者单位

¹ 空军工程大学工程学院，西安710038

² 光电控制技术重点实验室，河南洛阳471009

机载IRST系统被动测距非线性滤波简化UKF算法 airborne infrared search and track system passive ranging nonlinear filter simplified unscented Kalman filter

摘要

针对机载IRST系统被动测距问题，给出了一种简化的UKF(SUKF)算法。算法无需对状态变量进行扩维，对于线性状态方程使用了和卡尔曼滤波相同的时间更新方法，对于非线性测量方程保持了UKF的特征，既继承了UKF的优点又减小了算法的运算量。仿真结果表明，SUKF在测距精度和收敛速度上明显优于EKF，其性能与标准UKF相同但计算耗时少，适合于机载IRST系统被动测距的实时处理。

Abstract

To solve the problem of airborne IRST passive ranging,a new algorithm of Simplified Unscented Kalman Filter (SUKF) was proposed,which did not need augment the dimension of state variable.For linear state equations,the algorithm used the same time updating method as that of the Kalman filter; for nonlinear measure equations,the characteristics of UKF were kept thus the computation cost was reduced and the advantages of UKF were inherited.The simulation results show that SUKF is markedly superior to EKF in passive ranging accuracy and convergence speed,and can achieve the same performance as UKF with shorter time cost on calculation.The SUKF is suitable for real-time processing in the airborne IRST passive ranging.

参考文献

[1] 王万平，魏宏刚，廖胜，等.被动测距的可观测性分析和滤波方法［J］.红外与激光工程,2009,38(6):1083-1088.

[2] 浦加伦，韦常柱，荣思远.修正增益卡尔曼滤波算法在被动测距问题中的应用［J］.宇航学报,2007,28(4): 886-889.

[3] LIN X,KIRUBARAJAN T，BAR-SHALOM Y,et al.Comparison of EKF，pseudomeasurement and particle filters for a bearing-only target tracking problem ［C］//Proceedings of SPIE,Signal and Data Proceedings of Small Targets,2002,4728:240-247.

[4] 程水英，邹继伟，汤鹏.免微分非线性Bayesian滤波方法评述［J］，宇航学报,2009,30(3):843-857.

[5] JULIER S J,UHLMANN J K.Unscented filtering and nonlinear estimation［J］.Proceedings of the IEEE,2004,92(3):401-421.

[6] 张前，王小平，林秦颖，等.扩维UKF在目标估计器中的应用［J］.电光与控制,2009,16(10):87-90.

[7] 尹义蓉，高勇.基于UKF与融合的声探测定位与跟踪［J］.电光与控制,2010,17(12):8-12.

[8] 邓胜利，邵雷，吴平.SINS/GPS全姿态组合导航系统的UKF算法研究［J］.电光与控制,2010,17(12):24-28.

[9] BOLOTIN YU V,MORCUNOVA S N.Observability with bearing-only observations and smoothness of the attainable set［J］.Journal of Mathematical Sciences,2007,147(2):6631-6637.

[10] SHEN Mangzuo.Range information extraction from tracking data using object kinematic parameters［C］ //Proceedings of SPIE,Signal and Data Proceedings of Small Targets,1995,2561:484-488.

[11] 陈益，赵高鹏，刘娣.简化UKF算法在摄像机标定中的应用［J］.计算机工程，2009,35(19):274-276.

[12] 杨争斌，钟丹星，郭福成,等.一种基于高斯牛顿迭代的单站无源定位算法［J］.系统工程与电子技术，2007,29 (12):2006-2009.

冯国强, 李战武, 柳毅. 简化UKF在机载IRST系统被动测距中的应用[J]. 电光与控制, 2012, 19(2): 63. FENG Guoqiang, LI Zhanwu, LIU Yi. Application of Simplified UKF in Airborne IRST Passive Ranging[J]. Electronics Optics & Control, 2012, 19(2): 63.

简化UKF在机载IRST系统被动测距中的应用

关于本站 Cookie 的使用提示

全站搜索

简化UKF在机载IRST系统被动测距中的应用

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索