Construction Method of the Topographical Features Model for Underwater Terrain Navigation

Lihui Wang; Le Yu; Yanhua Zhu

doi:10.1515/pomr-2015-0043

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Construction Method of the Topographical Features Model for Underwater Terrain Navigation

Polish Maritime Research

Volume 22 (2015): Issue s1 (September 2015)

By: Lihui Wang, Le Yu and Yanhua Zhu

Open Access

|Oct 2015

Abstract

Terrain database is the reference basic for autonomous underwater vehicle (AUV) to implement underwater terrain navigation (UTN) functions, and is the important part of building topographical features model for UTN. To investigate the feasibility and correlation of a variety of terrain parameters as terrain navigation information metrics, this paper described and analyzed the underwater terrain features and topography parameters calculation method. Proposing a comprehensive evaluation method for terrain navigation information, and constructing an underwater navigation information analysis model, which is associated with topographic features. Simulation results show that the underwater terrain features, are associated with UTN information directly or indirectly, also affect the terrain matching capture probability and the positioning accuracy directly.

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Articles in this issue

DOI: https://doi.org/10.1515/pomr-2015-0043 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585

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Language: English

Page range: 121 - 125

Published on: Oct 15, 2015

Published by: Gdansk University of Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Terrain Aided Navigation,

terrain features,

Terrain Navigation Information Content (TNIC),

correlation

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other,

Geosciences,

Atmospheric science and climatology,

Life sciences,

Life sciences, other

© 2015 Lihui Wang, Le Yu, Yanhua Zhu, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 22 (2015): Issue s1 (September 2015)