INS/GIS组合导航方法研究

doi:10.3969/j.issn.1674-1579.2013.01.007

›› 2013, Vol. 39 ›› Issue (1): 40-44.doi: 10.3969/j.issn.1674-1579.2013.01.007

On the INS/GIS Integrated Navigation Algorithm

Abstract：Focused on the ambiguity of the statistical information about GIS measurement error and the random, timedelay characteristics of the measurement output, this paper gives a filter algorithm for solving the problem derived from incoordinate interval and measurement delay. This paper designes the corresponding Kalman filter and the LS algorithm. Based on the INS/GIS integrated navigation mathematical model, the accuracy of the improved Kalman filter and the improved LS algorithm are analyzed. The simulation results verify the validity of the improved Kalman filter.

(1.National Laboratory of Aerospace Intelligent Control Technology, Beijing 100854, China;
2.Beijing Aerospace Automatic Control Institute, Beijing 100854, China)

Online:2013-02-24 Published:2013-02-26

Abstract

Abstract: Abstract：Focused on the ambiguity of the statistical information about GIS measurement error and the random, timedelay characteristics of the measurement output, this paper gives a filter algorithm for solving the problem derived from incoordinate interval and measurement delay. This paper designes the corresponding Kalman filter and the LS algorithm. Based on the INS/GIS integrated navigation mathematical model, the accuracy of the improved Kalman filter and the improved LS algorithm are analyzed. The simulation results verify the validity of the improved Kalman filter.

Key words: Keywords：GIS, integrated navigation, incoordinate interval, measurement delay, Kalman filter, recursive LS filter

CLC Number:

TP391.9

LUO Ting, GAO Xiao-Ying, WANG Li-Na. On the INS/GIS Integrated Navigation Algorithm[J]., 2013, 39(1): 40-44.

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References

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On the INS/GIS Integrated Navigation Algorithm

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