改进平滑滤波算法在车辆组合导航系统中的仿真研究

由于导弹发射车对于定位定向的精度要求非常高,而惯性导航系统中的方位误差角对导弹发射的定位精度会造成很大的影响,而且随着射程的增加,影响成倍放大。为此,研究了一种改进的平滑滤波算法,使系统经过一段平滑周期后可进行一次方位角的误差修正,修正后的误差精度相比普通的卡尔曼滤波精度得到明显的提高。最后通过仿真分析,验证了该方法对于方位误差角的修正具有一定的作用,是一种有效提高系统定向精度的方法。

Simulation Study of Smoothing Filtering Algorithm in Vehicle Navigation System

Because the missile launch vehicles have high requirements on positioning and orientation accuracy requirements, and the azimuth error in the inertial navigation system can seriously affect the positioning accuracy of the missile launch, And as the range increases, the impact is multiplied. In this paper, an improved smoothing filtering algorithm is studied, to allow the system to modify the azimuth error after a period of smoothing cycle. The corrected accuracy is markedly improved compared to ordinary Kalman filtering precision. Finally, through simulation analysis, the method's effect for the correction of the azimuth error is validated. It is an effective method to improve the directional precision.