摘要
为了减小惯性元件误差对捷联惯导系统的影响,将蒙特卡洛方法应用于惯性元件误差模型的分析,并编制了一套在RTLinux下运行的软件.利用轨迹发生器和导航程序,通过对各误差系数的选择、采用拉丁超立方和对偶变数相结合的抽样方法抽样,分析各误差项对导航精度的影响.在此基础上,提取出简化的误差模型,并对简化模型进行评定,选择符合要求的作为适用模型,从而可以利用该模型进行惯性元件的误差补偿以提高捷联惯导系统精度.惯性元件误差模型分析作为导航系统测试平台的一部分,已经应用于工程实践.
The Monte Carlo method is used to evaluate the influence of error modeling parameters of inertial sensors, and an RTLinux-based error model analysis simulator is developed. The parameters of a complex model are chosen and sampled by Latin hypercube sampling with variance reduction techniques, with the aim to analyze the contribution of each parameter to the accuracy of strapdown inertial navigation system （SINS）. After that, a few simpler models were presented. The implementation of this model shows an improvement of the accuracy of SINS. The method was used in navigation system testing platform.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第A02期30-33,共4页
Journal of Southeast University：Natural Science Edition
关键词
误差模型
蒙特卡洛
惯性元件
精度
error model
Monte Carlo
inertial sensors
accuracy
