全球定位系统2023，Vol.48Issue(6)：67-71,5.DOI:10.12265/j.gnss.2023137
基于熵差的海底地形匹配导航算法
Seafloor terrain matching navigtion algorithm based on terrain variance entropy
摘要
Abstract
The principle of information entropy is applied to seafloor terrain matching navigation,and the terrain variance entropy is established.The matching algorithm including the search phase and the positioning phase is designed.The position error accumulated over time by inertial navigation system(INS)is corrected through coarse matching and fine matching.Further,the actual seafloor data is used for simulation.Results show that the position matching of longitude and latitude has a fast convergence speed,it can effectively correct the position error of inertial navigation system.This method has the advantages of high accuracy and good stability,and has certain practical value.关键词
惯性导航系统(INS)/差异熵/地形匹配/组合导航/算法Key words
inertial navigation system(INS)/terrain variance entropy/terrain matching/integration nav-igation/algorithm分类
天文与地球科学引用本文复制引用
晏泽翌,沈体雁,于家成..基于熵差的海底地形匹配导航算法[J].全球定位系统,2023,48(6):67-71,5.基金项目
河北省高等学校科学技术研究项目(2C2016011) （2C2016011）
高等学校博士学科点专项科研基金(20110001110073) （20110001110073）
