Geo-information entropy for positioning and navigation

Abstract

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.