摘要
TBM末端机动弹道的预测是现代防空C3I系统建模中重要的组成部分,它直接影响着反导武器系统对TBM拦截的精度与概率。为了精确地预测出处于末端机动条件的TBM弹道,并满足防空作战实时性的要求,本文在广义卡尔曼滤波的基础上提出了一种基于输入估计的自适应滤波方法。结论表明,该方法较其它方法更适应于解决TBM末端机动弹道预测问题,具有很好的军事应用价值。
The estimation for maneuvering tactical ballistic missiles （TBM） trajectory in its terminal phase is an important part of the modeling of modern air - defense C^3I system. It has direct effects on the intereept precision and probability of anti - TBM operation. For estimating the TBM trajectory in its terminal phase accurately, and meeting the real - time requirement of air - defense, an adaptive filter based on input estimator and with reference to extended Kalman filter is put forward. Compared with the other methods, this method is more suitable for TBM terminal - phase trajectory estimation.
出处
《电光与控制》
北大核心
2006年第4期9-12,共4页
Electronics Optics & Control
基金
国家863课题(2004AA780033)
关键词
反导作战
弹道预测
输入估计
广义卡尔曼滤波
anti - TBM operation
trajectory estimation
input estimator
extended Kalman filter
