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

^*Corresponding author for this work

Peking University

Research output: Contribution to conference › Paper › peer-review

5 Scopus citations

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.

Original language	English
Pages	296-299
Number of pages	4
State	Published - 2004
Externally published	Yes
Event	PLANS - 2004 Position Location and Navigation Symposium - Monterey, CA, United States Duration: 26 Apr 2004 → 29 Apr 2004

Conference

Conference	PLANS - 2004 Position Location and Navigation Symposium
Country/Territory	United States
City	Monterey, CA
Period	26/04/04 → 29/04/04

Keywords

Aided navigation
Entropy matching
Geo-information entropy
Positioning

Cite this

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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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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

Abstract

Conference

Keywords

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Cite this