包含无效点滤波的弹道高度预测

Ballistic Altitude Prediction Algorithm Including Invalid Point Filtering

针对对地打击弹药引信弹道高度测量中观测信号可能出现的有效数据缺失、数据更新速率低以及由于环境噪声等造成测距精度下降问题,提出包含无效点滤波的弹道高度预测算法。通过引入无效点概念,将探测漏点、干扰点、需插值点设置为两种类型的无效点,将无效点和额外预测点利用系统状态方程、扩展卡尔曼滤波、伪测量技术等处理算法进行滤波及数据更新,实现弹道高度预测。仿真实验验证结果表明,算法在提高数据更新速率、消除漏点干扰、弹道高度额外点预测、降低随机噪声干扰等方面效果显著,该经算法处理的弹道高度信息平均绝对误差和均方根误差相比原始信号均有明显降低。

In order to solve the problems of effective data missing,low data update rate and reduced ranging accuracy caused by environmental noise in the measurement of the ballistic height of ammunition fuze,a ballistic height prediction algorithm including invalid point filtering was proposed.By introducing the concept of invalid points,the missing points,interference points and interpolation points were set as two types of invalid points,and the invalid points and additional prediction points were filtered and updated by using the system equation of state,extended Kalman filter,pseudo-measurement technology and other processing algorithms to achieve ballistic height prediction.Simulation results showed that the algorithm was effective in improving the data update rate,eliminating the interference of missing points,predicting the extra points of ballistic altitude,and reducing the interference of random noise.The mean absolute error and root mean square error of ballistic altitude information processed by the algorithm were significantly reduced compared with the original signal.