摘要
弹道滤波是精确获取弹箭飞行弹道参数的关键技术之一。当采用卡尔曼滤波进行弹道滤波时,系统模型偏差可能导致滤波精度的降低。以某低旋尾翼弹为对象,对此问题进行了研究。提出一个较精确且便于工程应用的扩展质点弹道模型,由此建立了弹箭飞行状态方程;在坐标雷达体制下建立了量测方程;仿真分析了系统模型偏差对弹道滤波性能的影响,并提出一个基于过程噪声控制的弹道滤波方案。仿真结果表明:该方案可有效克服模型偏差的不利影响,弹箭侧偏的估计误差可减小50%以上,且系统计算量增加较少。研究结果可为弹道滤波的工程应用提供一定的参考。
The estimation of flight state for guided projectiles is one of the most critical techniques in obtaining precise trajectory parameters.When Kalman filtering is used,the system model deviation may cause reduction of the filtering accuracy significantly.In this paper the foregoing problem is investigated by taking a type of fin-stabilized projectiles with low spin speed as object.An Extended Point-Mass Model（EPMM） is proposed.Based on the EPMM and radar detecting system,the state equation and measurement equation are established respectively.The effect of model deviation on the filtering performance is analyzed via numerical simulation,thus a new scheme of estimation of flight state is proposed based on the process noise control.The results indicate that the negative influence is overcome effectively by adopting this scheme.The estimation error of lateral range for projectiles can be reduced more than 50% at least and the increase of computation burden is fairly small.Some results concluded are useful for further research.
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2011年第1期51-54,63,共5页
Journal of Air Force Engineering University(Natural Science Edition)
关键词
弹箭
状态估计
卡尔曼滤波
弹道模型
过程噪声
projectiles
state estimation
Kalman filtering
trajectory model
process noise
