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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaolong Chen Ye Li |
| Copyright Year | 2011 |
| Description | Author affiliation: State Key Laboratory of Autonomous Underwater Vehicle, Harbin Engineering University, China (Xiaolong Chen; Ye Li) |
| Abstract | As a means of aiding navigation of underwater, terrain matching technology has been proved to be promising for autonomous underwater vehicles. With the measurement depths data obtained from multi-beam sonar, a method based on Bayesian estimation algorithm is proposed in this paper. The selection of suitable matching field based on terrain entropy is described here and which is helpful for choosing way point where to do the position fixing. The result of simulation shows that the method is robust and has perfect performance for underwater navigation. |
| Starting Page | 1785 |
| Ending Page | 1789 |
| File Size | 470191 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424499502 |
| ISSN | 21579563 |
| e-ISBN | 9781424499533 |
| DOI | 10.1109/ICNC.2011.6022369 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bayesian estimation Bayesian methods Sea measurements Sonar Multi-beam sonar Position measurement Sonar navigation Noise measurement Terrain entropy Autonomous underwater vehicle |
| Content Type | Text |
| Resource Type | Article |
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