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dc.contributor.advisorÅnonsen, Kjetil Bergh
dc.contributor.advisorSøraunet, Arild
dc.contributor.authorLie, Espen
dc.contributor.authorLeithe, Håkon
dc.date.accessioned2016-08-09T14:00:20Z
dc.date.available2016-08-09T14:00:20Z
dc.date.created2016-06-06
dc.date.issued2016
dc.identifierntnudaim:14532
dc.identifier.urihttp://hdl.handle.net/11250/2398540
dc.description.abstractThe thesis objective was to get a better insight in theories behind global navigation satel- lite systems, inertial navigation systems and the two integrated. Current technology used to realize such system was also investigated. The development process started by specifying the requirements, designing and imple- menting a solution. The project resultet in a Navigation Module for INS with GNSS multi-antenna system and a Kalman filter for estimating position, velocity, attitude and IMU biases. Some of the findings were that a loosely coupled Kalman filter has great advantages com- pared to a uncoupled filter and is good at estimating filter states through short GNSS outages. The conclusion of the results found in the experiment is that designing a Kalman filter that performes well compared to established systems is achievable. The thesis lead to a hardware and software module that performed as intended. For future work an expansion of the filter can be done. Also, other coupling schemes can be investigated further and implemented.
dc.languageeng
dc.publisherNTNU
dc.subjectKybernetikk og robotikk
dc.titleIntegrating GNSS/INS/PVT for robust positioning
dc.typeMaster thesis
dc.source.pagenumber104


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