炮弹发射弹道目标精度校正估计仿真  

Simulation for correction estimation of accuracy of trajectory target with projectile launching

作　　者：吴清怡[1] 吴中红[1] WU Qing-yi;WU Zhong-hong(College of Electronic Engineering,Naval University of Engineering,Wuhan 430033,China)

机构地区：[1]海军工程大学电子工程学院,武汉430033

出　　处：《沈阳工业大学学报》2018年第5期571-576,共6页Journal of Shenyang University of Technology

基　　金：总装备部装备预研基金资助项目(9140A06030215JB11082)

摘　　要：针对全球定位系统、雷达和卡尔曼滤波等传统测量手段在弹道量测中面临的诸多问题,提出了超宽带技术与平方根无迹卡尔曼滤波方法相结合的弹道估计算法,通过试验与仿真对该算法进行了分析.结果表明,采用平方根无迹卡尔曼滤波进行估计时,运行时间低于扩展卡尔曼滤波,略高于无迹卡尔曼滤波,且位置和速度均方根误差均低于二者.将平方根无迹卡尔曼滤波应用于弹道估计问题中可取得更为有效、准确的估计结果.In order to solve many problems in the traditional measurement methods such as the global positioning system(GPS),radar and Kalman filtering,the trajectory estimation algorithm in combination with both ultra wide band(UWB)technology and square root unsented Kalman filtering(SRUKF)was proposed.In addition,the proposed algorithm was analyzed through the simulation and experimets.The results show that the running time of SRUKF is lower than that of extended Kalman filtering(EKF),while higher than that of unsented Kalman filtering(UKF).However,the root mean square error(RMSE)of both position and speed of SRUKF is lower than those of EKF and UKF.When the SRUKF is used for the trajectory estimation problem,the more effective and accurate estimating results can be obtained.

关 键 词：超宽带 弹道估计 平方根无迹卡尔曼扩展滤波 扩展卡尔曼滤波 无迹卡尔曼滤波 运行时间 位置均方根误差 速度均方根误差 

分 类 号：TN014[电子电信—物理电子学]