Application of Kalman filter on multisensor fusion tracking
| dc.contributor.advisor | Titus, Harold A. | |
| dc.contributor.author | Terpening, Brian Everett | |
| dc.contributor.corporate | Naval Postgraduate School (U.S.) | |
| dc.contributor.department | Department of Electrical and Computer Engineering | |
| dc.contributor.secondreader | Schoenstadt, Arthur L. | |
| dc.date | December 1992 | |
| dc.date.accessioned | 2013-01-23T21:59:00Z | |
| dc.date.available | 2013-01-23T21:59:00Z | |
| dc.date.issued | 1992-12 | |
| dc.description.abstract | The use of Kalman filtering in tracking targets and the reconstruction of a target's track are addressed in two separate fusion schemes. First, the Kalman filter is used to provide estimates of the position and velocity of a target based upon observations of the target's bearing. Two sensors, a radar in receive mode and an infra-red sensor, take bearings to the target at different scan rates. This information is then fused within the filter to obtain the target's track. Secondly, range, bearing, and frequency are used in fusion. Kalman filtering, Kalman smoothing, and maneuver detection are all used in the reconstruction of a target's track. Improvements are implemented in the method of forcing the excitation matrix and the results documented. | en_US |
| dc.description.distributionstatement | Approved for public release; distribution is unlimited. | |
| dc.description.service | Lieutenant, United States Navy | en_US |
| dc.description.uri | http://archive.org/details/applicationofkal1094526384 | |
| dc.format.extent | 80 p. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10945/26384 | |
| dc.language.iso | en_US | |
| dc.publisher | Monterey, California. Naval Postgraduate School | 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.author | Fusion | en_US |
| dc.subject.author | Kalman filter multisensor fusion tracking | en_US |
| dc.title | Application of Kalman filter on multisensor fusion tracking | en_US |
| dc.type | Thesis | en_US |
| dspace.entity.type | Publication | |
| etd.thesisdegree.discipline | Electrical Engineering | en_US |
| etd.thesisdegree.grantor | Naval Postgraduate School | en_US |
| etd.thesisdegree.level | Masters | en_US |
| etd.thesisdegree.name | M.S. in Electrical Engineering | en_US |
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