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Titre du document / Document title

New method of underwater passive navigation based on gravity gradient

Auteur(s) / Author(s)

LIN WU (1) ; JIAQI GONG (1) ; HUA CHENG (1) ; JIE MA (1) ; JINWEN TIAN (1) ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

(1) State Key Laboratory for Multi-spectral Information Processing Technologies, Institute for Patter Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, CHINE

Résumé / Abstract

A new method of underwater passive navigation based on gravity gradient is proposed in this paper. In comparison with some other geophysical characteristics such as gravity or gravity anomaly, gravity gradient which is the second derivative of gravitational potential has better spatial resolution and more sensitive to terrain changes. Through it, the digitally stored gravity gradient maps and real-time gravity gradient measurements can be taken as input information, with gravity gradient linearization techniques and extended Kalman filter, the navigation errors of INS are estimated by using gravity gradient error, therefore the output in the inertial navigation system are corrected. Simulation test has been done and the results show that, the method is effective and efficient for the positioning precision improvement.

Revue / Journal Title

Proceedings of SPIE, the International Society for Optical Engineering    ISSN  0277-786X   CODEN PSISDG 

Source / Source

Congrès
MIPPR 2007 :   ( Remote sensing and GIS data processing and applications, and Innovative multispectral technology and applications )  ( 15-17 November 2007, Wuhan, China )
International Symposium on Multispectral Image Processing and Pattern Recognition No5, Wuhan , CHINE (2007)
2007  , vol. 6790 (2), pp. 67901V.1-67901V.8[Note(s) : 2 vol., ] (15 ref.) ISBN 978-0-8194-6954-0 ; 0-8194-6954-8 ;  Illustration : Illustration ;

Langue / Language

Anglais

Editeur / Publisher

Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, ETATS-UNIS  (1981) (Revue)
SPIE, Bellingham, Wash., ETATS-UNIS  (2007) (Monographie)

Mots-clés anglais / English Keywords

Navigation system

;

Simulation

;

Inertial navigation

;

Extended Kalman filter

;

Linearization

;

Atmospheric optics

;

Imagery

;

Spatial resolution

;

Positioning

;

Kalman filters

;

Real time systems

;

Mots-clés français / French Keywords

Système de navigation

;

0130C

;

93

;

4268W

;

Simulation

;

Navigation inertie

;

Filtre Kalman étendu

;

Linéarisation

;

Optique atmosphérique

;

Imagerie

;

Résolution spatiale

;

Positionnement

;

Filtre Kalman

;

Système temps réel

;

Mots-clés espagnols / Spanish Keywords

Filtro Kalman extendido

;

Linearización

;

Imaginería

;

Localisation / Location

INIST-CNRS, Cote INIST : 21760, 35400017283871.0660

Nº notice refdoc (ud4) : 20601934



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