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一种新的惯性/GPS组合导航系统随机干扰处理方法
引用本文:刘晓光,谢玲,等.一种新的惯性/GPS组合导航系统随机干扰处理方法[J].北京理工大学学报,2001,21(5):591-595.
作者姓名:刘晓光  谢玲
作者单位:北京理工大学自动控制系
摘    要:研究动力学系统波动算法的简化和改进方法,用该方法对陀螺漂移,加速度计误差等随机干扰进行统计描述,巧妙地运用卡尔曼滤波除组合导航系统的波动型干扰,简化原算法,使计算量比原算法减少,通过对惯性/GPS组合导航系统中的波动法和卡尔曼滤波的比较及计算机仿真研究表明,新的改进波动算法与原算法几乎一样有效,波动型随机干扰的估算精度高于标准卡尔曼滤波。

关 键 词:惯性导航系统  卡尔曼滤波  波动干扰  GPS  组合导航系统  陀螺漂移  干扰处理
文章编号:1001-0645(2001)05-0591-05
修稿时间:2001年4月12日

A New Method for Processing Random Disturbance in Inertial/GPS Integrated Navigation System
LIU Xiao guang,XIE Ling,DAI Ya ping,CHEN Jia bin.A New Method for Processing Random Disturbance in Inertial/GPS Integrated Navigation System[J].Journal of Beijing Institute of Technology(Natural Science Edition),2001,21(5):591-595.
Authors:LIU Xiao guang  XIE Ling  DAI Ya ping  CHEN Jia bin
Abstract:The improved and simplified method of the wave algorithm in the dynamic system is investigated. Random disturbances such as gyro drift and accelerometer error are described in non statistical way. And Kalman filter is applied subtly to filter the wave disturbance in integrated navigation system. By simplifying the original algorithm, the amount of calculation is decreased. By the comparison between the new algorithm and Kalman filter applied in inertial/GPS integrated navigation system, and according to the computer simulation, it is shown that the new improved algorithm is almost as effective as the original, and the estimation precision of the new algorithm for the random wave disturbance is better than the standard Kalman filter.
Keywords:inertial navigation system  Kalman filter  wave disturbance  
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