摘要
在靶场测量中,观测值中的野值是影响数据处理结果的重要因素.分析了卡尔曼滤波原理和野值对滤波的影响机理,从滤波算法的原理和工程实践的实际出发,提出了一种野值判别和处理方法.仿真结果表明,该方法可以有效地消除野值对滤波的不利影响,提高测量精度.
During range measurement,the outliers included in observation values are important factors which affect the result of data processing.The principle of Kalman filter and the mechanism that outliers affect the filter are analyzed.A method of distinguishing and rejecting outliers is presented according to arithmetic principle and engineering practices.The result of simulation demonstrates that the method can eliminate the bad effect of outliers on filter effectively and improve the measurement accuracy.
出处
《战术导弹技术》
2011年第2期98-100,共3页
Tactical Missile Technology
关键词
靶场测量
卡尔曼滤波
野值
range measurement
Kalman filter
outlier
