Publication:
Integrating external position information with GPS using existing GPS processing software for precision agriculture applications.

dc.contributor.author COLE, A en_US
dc.date.accessioned 2021-11-25T13:50:22Z
dc.date.available 2021-11-25T13:50:22Z
dc.date.issued 2008 en_US
dc.description.abstract The Integration of GPS with additional position technologies, such as Inertial Navigation Systems (INS), is an area of research that is well developed. The complimentary properties of the two systems, the long term stability and accuracy of GPS with the reliability and high data rates of the INS system, have meant they have been ideal candidates for integration in order to obtain a more robust and reliable navigation solution than either system can provide alone. Research to date has focused on integrating these two systems using a variety of data fusion techniques such as the Extended Kalman filter or other non-linear filtering techniques to utilize the strengths of each individual system. This has typically involved the need to design a system that takes into account both the GPS and INS systems when designing the overall system architecture. This paper proposes a different approach to the problem of integrating these two systems, from the constraint of having an existing GPS processing software suite that has been developed over many years and would require significant reengineering in order to modify sufficiently to enable the acceptance of both GPS and INS measurements. The method proposed here is to instead form virtual satellites, or ‘virtuaLites’ based on aiding position information, be it from an INS system or alternate source, that can be processed alongside the GPS satellites using the existing processing software for application in a precision agriculture environment. This paper examines the details in implementing this approach; it presents three different strategies for the implementation of the virtuaLite concept and examines the quality of aiding position information necessary for this implementation to be effective. en_US
dc.identifier.uri http://hdl.handle.net/1959.4/41312
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.title Integrating external position information with GPS using existing GPS processing software for precision agriculture applications. en_US
dc.type Conference Paper en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.accessRights.uri http://purl.org/coar/access_right/c_14cb
unsw.relation.faculty Engineering
unsw.relation.ispartofconferenceLocation Savannah, USA en_US
unsw.relation.ispartofconferenceName 21st Int. Tech. Meeting of the Satellite Division of the U.S. Inst. of Navigation en_US
unsw.relation.ispartofconferenceProceedingsTitle 21st Int. Tech. Meeting of the Satellite Division of the U.S. Inst. of Navigation en_US
unsw.relation.ispartofconferenceYear 2008 en_US
unsw.relation.ispartofpagefrompageto 2156-2164 en_US
unsw.relation.originalPublicationAffiliation COLE, A, Surveying & Spatial Information Systems, Faculty of Engineering, UNSW en_US
unsw.relation.school School of Civil and Environmental Engineering *
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