基于CKF的再入段弹道目标质阻比估计  

Estimation of Mass-to-drag Ratio of Reentry Ballistic Targets Based on CKF Algorithm

作　　者：赵崇丞 王君[1] 陈德江 ZHAO Chong-cheng;WANG Jun;CHEN De-jiang

机构地区：[1]空军工程大学防空反导学院,西安710051

出　　处：《火力与指挥控制》2018年第11期7-10,16,共5页Fire Control & Command Control

基　　金：国家自然科学基金青年基金资助项目(61503408)

摘　　要：针对传统扩展卡尔曼滤波(EKF)对再入段弹道目标的质阻比估计存在收敛速度慢,估计精度不够高的问题,提出一种利用容积卡尔曼滤波(CKF)对再入段弹道目标进行估计的方法。给出了扩展卡尔曼滤波和容积卡尔曼滤波估计再入段弹道目标质阻比的性能比较。仿真结果显示,在收敛速度及估计精度上,容积卡尔曼滤波对再入段弹道目标质阻比的估计都优于扩展卡尔曼滤波。For the estimation of mass-to-drag ratio of reentry ballistic targets with traditional Extended Kalman Filter,the convergence rate is slow and the estimation accuracy is not high enough,a mass-to-drag ratio estimation algorithm based on Cubature Kalman Filter(CKF)is proposed.Performance comparison of estimation of reentry ballistic targets’mass-to-drag ratio based on Extended Kalman Filter and Cubature Kalman Filter is given.Simulation results show that estimation of mass-to-drag ratio of reentry ballistic targets with Cubature Kalman Filter is superior to that with Extended Kalman Filter in both convergence rate and estimation accuracy.

关 键 词：扩展卡尔曼滤波 质阻比估计 容积卡尔曼滤波 再入段弹道目标 

分 类 号：TJ012[兵器科学与技术—兵器发射理论与技术] TN953[电子电信—信号与信息处理]