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Proceedings Paper

Research on matching area selection based on multiple features fusion of full tensor gravity gradient
Author(s): Jian-qiao Tang; Ling Xiong; Kai-han Li; Jie Ma
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Paper Abstract

Submarines in the underwater sailing need a safe, reliable, high accurate, and covert well navigation system. Inertial navigation system (INS) is the core of underwater navigation. But the inertial navigation system gathers information based gyroscope, accelerometer and other sensors. In accordance to Newton's laws of mechanics, their own speed, location and other information is calculated by integral recursion. Since the recursive work of INS, positioning error gradually increases with time elapsing. Gravity and gravity gradient aided navigation as a passive autonomous navigation are more and more focused on, Selection of the gravity gradient matching area is one of the key to gravity gradient matching navigation. Earth's marine area is enormous, underwater environment is complex. Take advantage of multi-feature information fusion of gravity gradient full tensor, one hand a wider range of matching area can be got, to gain wider path planning area. on the other hand, the positioning accuracy of assisted navigation system can be inproved.

Paper Details

Date Published: 14 December 2015
PDF: 7 pages
Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120F (14 December 2015); doi: 10.1117/12.2204828
Show Author Affiliations
Jian-qiao Tang, Wuhan Univ. of Science and Technology (China)
Ling Xiong, Wuhan Univ. of Science and Technology (China)
Kai-han Li, Wuhan Univ. of Science and Technology (China)
Guochuang Tech Industrial Group Co., Ltd. (China)
Jie Ma, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 9812:
MIPPR 2015: Automatic Target Recognition and Navigation
Nong Sang; Xinjian Chen, Editor(s)

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