摘要
针对民航RNP导航方式对机载导航系统提出的高精度要求,提出一种基于时变噪声的惯导/陆基组合导航信息融合方法。在分析陆基导航系统定位误差产生机理的基础上,建立陆基时变量测噪声模型;然后给出基于时变噪声的惯导/陆基信息融合模型;最后通过MATLAB仿真,将基于时变噪声与基于固定随机常值加白噪声的融合方法所得的惯导/陆基组合导航精度进行比较,结果表明基于时变噪声的信息融合方法可优化滤波参数,提高组合导航的精度。
To meet the high precision requirements for airborne navigation system of civil aviation with the RNP navigation mode, a fusion method based on time-varying noise for INS/land-based radio is provided. Firstly, the time varying measurement noise model of land based radio navigation system is established based on the analysis of its positioning error generation mechanism. Then,the information fusion model based on time-varying noise for INS/land- based radio is given. Finally, comparing the simulating performance of INS/land based radio integrated system based on time-varying noise with that based on fixed random constant and white noise by MATLAB,it is shown that introducing method with time-varying noise can optimize the filter parameters and greatly improve the accuracy of navigation system.
出处
《电子测量技术》
2013年第3期40-43,共4页
Electronic Measurement Technology
关键词
惯导
陆基无线电
时变噪声
信息融合
INS land-based radio navigation system
time-varying noise
information fusion