用于定位和导航的地理信息熵

PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556) Pub Date : 2004-04-26 DOI:10.1109/PLANS.2004.1309008

Ming Yan, Lei Yan, Kedong Wang

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引用次数: 4

摘要

惯性导航系统的长期导航精度需要辅助信息的调节。本文利用局部地理信息熵作为辅助信息来修正惯性导航系统的误差。设计了一种最小方差匹配算法，并用MATLAB进行了仿真。因此，地理信息作为一种导航辅助模型，无论是自主的还是半自主的，都几乎不受“外部世界”的干扰。

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Geo-information entropy for positioning and navigation

An inertia navigation system (INS) must be regulated with aiding information for its long-term navigation precision. In this paper, the local geographic information entropy, as aiding information, is used to correct the INS error. A minimum variance matching algorithm is designed and simulated with MATLAB. As a result, geo-information is hardly interfered by the "outer world" as a navigation aiding model, either autonomously or semi-autonomously.

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PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556)

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