An integrated GPS/INS navigation system for small AUVs using an asynchronous Kalman filter
dc.contributor.author | Yun, X. | |
dc.contributor.author | Hernandez, G. C. | |
dc.contributor.author | Bachmann, E.R. | |
dc.contributor.author | Mcghee, R.B. | |
dc.contributor.author | Healey, A.J. | |
dc.date | 20-21 Aug 1998 | |
dc.date.accessioned | 2014-05-16T20:02:30Z | |
dc.date.available | 2014-05-16T20:02:30Z | |
dc.date.issued | 1998 | |
dc.identifier.uri | https://hdl.handle.net/10945/41287 | |
dc.description | The article of record may be found at http://dx.doi.org/10.1109/AUV.1998.744438 | en_US |
dc.description | Autonomous Underwater Vehicles, 1998. AUV'98. Proceedings of the 1998 Workshop on | en_US |
dc.description.abstract | A small AUV navigation system (SANS) is being developed at the Naval Postgraduate School. The SANS is an integrated GPS/INS navigation system composed of low-cost, small-size components. It is designed to demonstrate the feasibility of using a low-cost inertial measurement unit (IMU) to navigate between intermittent GPS fixes. The paper reports improvements to the SANS hardware, latest testing results after compensating heading-dependent derivations in the TCM-2 compass measurements, and development of an asynchronous Kalman filter for improved position estimation | en_US |
dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | en_US |
dc.subject.other | Filters | en_US |
dc.subject.other | Global Positioning System | en_US |
dc.subject.other | Hardware | en_US |
dc.subject.other | Land vehicles | en_US |
dc.subject.other | Measurement units | en_US |
dc.subject.other | Navigation | en_US |
dc.subject.other | Packaging | en_US |
dc.subject.other | Position measurement | en_US |
dc.subject.other | Storage area networks | en_US |
dc.subject.other | Testing | en_US |
dc.title | An integrated GPS/INS navigation system for small AUVs using an asynchronous Kalman filter | en_US |
dc.contributor.department | Dept. of Electrical and Computer Engineering |