14 December 2015 Research on matching area selection based on multiple features fusion of full tensor gravity gradient
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Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98120F (2015) https://doi.org/10.1117/12.2204828
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
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.
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Jian-qiao Tang, Ling Xiong, Kai-han Li, Jie Ma, "Research on matching area selection based on multiple features fusion of full tensor gravity gradient", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120F (14 December 2015); doi: 10.1117/12.2204828; https://doi.org/10.1117/12.2204828
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