Geo-information entropy for positioning and navigation

Ming Yan; Lei Yan; Kedong Wang

Geo-information entropy for positioning and navigation

Ming Yan^*
, Lei Yan
, Kedong Wang

^*此作品的通讯作者

Peking University

科研成果: 会议稿件 › 论文 › 同行评审

5 引用（Scopus）

摘要

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

源语言	英语
页	296-299
页数	4
出版状态	已出版 - 2004
已对外发布	是
活动	PLANS - 2004 Position Location and Navigation Symposium - Monterey, CA, 美国期限: 26 4月 2004 → 29 4月 2004

会议

会议	PLANS - 2004 Position Location and Navigation Symposium
国家/地区	美国
市	Monterey, CA
时期	26/04/04 → 29/04/04

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引用此

@conference{c464d7202e6d47e886c725cb22082e91,

title = "Geo-information entropy for positioning and navigation",

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

keywords = "Aided navigation, Entropy matching, Geo-information entropy, Positioning",

author = "Ming Yan and Lei Yan and Kedong Wang",

year = "2004",

language = "英语",

pages = "296--299",

note = "PLANS - 2004 Position Location and Navigation Symposium ; Conference date: 26-04-2004 Through 29-04-2004",

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TY - CONF

T1 - Geo-information entropy for positioning and navigation

AU - Yan, Ming

AU - Yan, Lei

AU - Wang, Kedong

PY - 2004

Y1 - 2004

N2 - An inertia navigation system (INS) must be regulated with aided information for its long-time precision navigation. In the paper, the local geographic information entropy as an aided information is used to correct the INS error. The minimum variance matching algorithm is designed and simulated with MATLAB. As a result, geo-information is hardly interfered by the "outer world" as an aided navigation model autonomously or semi-autonomously.

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

KW - Aided navigation

KW - Entropy matching

KW - Geo-information entropy

KW - Positioning

UR - https://www.scopus.com/pages/publications/2942689403

M3 - 论文

AN - SCOPUS:2942689403

SP - 296

EP - 299

T2 - PLANS - 2004 Position Location and Navigation Symposium

Y2 - 26 April 2004 through 29 April 2004

ER -

Geo-information entropy for positioning and navigation

摘要

会议

其它文件与链接

指纹

引用此