弹道学报Issue(1)：53-58,6.
基于 SNVA 的机动目标状态估计
Maneuvering Target State Estimation Based on SNVA
摘要
Abstract
By using the difference between the location forecast estimation and the corrected location estimation,the acceleration variance was adjusted adaptively.A maneuvering target state estimation method based on state noise variance adaptive(SNVA)was proposed.The SNVA was used to adaptively adjust the system noise variance in target state estimation system,which can improve the current statistical model.The extended Kalman filter algorithm was used to estimate the target state.Simulation results show that the extended Kalman filter algorithm based on SNVA can estimate the target state accurately.The absolute estimation error of velocity is less than 0.1 m/s,and the absolute estimation error of acceleration is less than 0.1 m/s2 .The target state can be accurately estimated by the proposed method.关键词
机动目标/当前统计模型/扩展卡尔曼滤波/状态估计Key words
maneuering target/current statistical model/extended Kalman filter/state estimation分类
军事科技引用本文复制引用
乔雪,白亚腾..基于 SNVA 的机动目标状态估计[J].弹道学报,2015,(1):53-58,6.基金项目
教育部博士学科点专项科研基金项目(20120095110025) （20120095110025）
