Ship Tracking Based on Underwater Electric Potential
Underwater Electric Potential is an important signal characteristic of a ship. The signal contains location information which can be used to track the ship. This research tries to study the possibility of ship tracking using Underwater Electric Potential. Aiming at the problems existing in the tradi...
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| Veröffentlicht in: | Mathematical problems in engineering 2018-01, Vol.2018 (2018), p.1-8 |
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| container_title | Mathematical problems in engineering |
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| creator | Hu, Shouwei Zhang, Jiawei Yan, Bing Sun, Baoquan |
| description | Underwater Electric Potential is an important signal characteristic of a ship. The signal contains location information which can be used to track the ship. This research tries to study the possibility of ship tracking using Underwater Electric Potential. Aiming at the problems existing in the traditional Kalman filters under large initial errors, a new nonlinear filter is proposed. State space model of ship tracking is established; the problem existing in the ordinary Kalman filters is analyzed from the perspective of Kullbeck-Leibler Divergence; the new algorithm is proposed based on progressive Bayesian; simulations are designed. Simulation results show: it is feasible to use underwater electric potential to track the ship; the new method can effectively improve filter performance under large initial error and can effectively track the ship with preferable precision and convergence, which has great practical value. |
| doi_str_mv | 10.1155/2018/2797621 |
| format | Article |
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The signal contains location information which can be used to track the ship. This research tries to study the possibility of ship tracking using Underwater Electric Potential. Aiming at the problems existing in the traditional Kalman filters under large initial errors, a new nonlinear filter is proposed. State space model of ship tracking is established; the problem existing in the ordinary Kalman filters is analyzed from the perspective of Kullbeck-Leibler Divergence; the new algorithm is proposed based on progressive Bayesian; simulations are designed. Simulation results show: it is feasible to use underwater electric potential to track the ship; the new method can effectively improve filter performance under large initial error and can effectively track the ship with preferable precision and convergence, which has great practical value.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2018/2797621</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Bayesian analysis ; Cathodic protection ; Computer simulation ; Corrosion ; Divergence ; Electric fields ; Electric filters ; Electric potential ; Engineering ; Finite element analysis ; Kalman filters ; Nonlinear filters ; Signal processing ; State space models ; Tracking ; Underwater</subject><ispartof>Mathematical problems in engineering, 2018-01, Vol.2018 (2018), p.1-8</ispartof><rights>Copyright © 2018 Baoquan Sun et al.</rights><rights>Copyright © 2018 Baoquan Sun et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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The signal contains location information which can be used to track the ship. This research tries to study the possibility of ship tracking using Underwater Electric Potential. Aiming at the problems existing in the traditional Kalman filters under large initial errors, a new nonlinear filter is proposed. State space model of ship tracking is established; the problem existing in the ordinary Kalman filters is analyzed from the perspective of Kullbeck-Leibler Divergence; the new algorithm is proposed based on progressive Bayesian; simulations are designed. Simulation results show: it is feasible to use underwater electric potential to track the ship; the new method can effectively improve filter performance under large initial error and can effectively track the ship with preferable precision and convergence, which has great practical value.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2018/2797621</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-7625-374X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Bayesian analysis Cathodic protection Computer simulation Corrosion Divergence Electric fields Electric filters Electric potential Engineering Finite element analysis Kalman filters Nonlinear filters Signal processing State space models Tracking Underwater |
| title | Ship Tracking Based on Underwater Electric Potential |
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