摘要
针对惯导平台误差分离过程中输入输出观测数据均含有噪声的问题,应用基于EV模型的总体最小二乘方法进行误差分离。给出了惯导平台的误差模型及误差观测方程,介绍了EV模型及总体最小二乘方法,分析了利用车载试验进行误差分离时平台的安装方式以及所需的外测信号等问题。应用最小二乘法和总体最小二乘法进行仿真对比研究。仿真结果表明,基于EV模型的总体最小二乘法对惯导平台的误差系数分离精度较最小二乘法要高。
The errors-in-variables model based total least squares methods is use to separate the error of the inertial navigation platform, for the reason that both of the input and output data contains noise. Models of inertial navigation platform error and observation error are proposed, the errors-in-variables model and total least squares method are introduced, and how to fixing the platform in the vehicle and what exterior information used are analyzed. Both the least squares method and the total least squares method are used to do the simulation research work. The simulation results show that the total least squares method is better than the least squares method in the error separation of inertial navigation platform.
出处
《火力与指挥控制》
CSCD
北大核心
2009年第11期22-25,共4页
Fire Control & Command Control
基金
国家安全重大基础研究基金资助项目(973-61334)
关键词
EV模型
惯导平台
误差分离
errors-in-variables model, inertial navigation platform, error separation
