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dc.contributor.authorMunguía Alcalá, Rodrigo Francisco
dc.contributor.authorGrau Saldes, Antoni
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2012-03-20T14:37:05Z
dc.date.available2012-03-20T14:37:05Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationMunguia, R.; Grau, A. An attitude and heading reference system (AHRS) based in a dual filter. A: IEEE International Conference on Emerging Technologies and Factory Automation. "16th IEEE International Conference on Emerging Techonologies and Factory Automation (EFTA'11) Proceedings". Toulouse: IEEE Press. Institute of Electrical and Electronics Engineers, 2011, p. 1-8.
dc.identifier.isbn978-1-4577-0017-0
dc.identifier.urihttp://hdl.handle.net/2117/15619
dc.description.abstractThis paper describes the design, analysis, and experimental results of an Attitude and Heading System based on a Dual Kalman Filtering technique. The presented scheme is suitable for implementation using low cost sensors. Attitude determination systems are essential for real time vehicle navigation, guidance and control applications. When low cost sensors are used, efficient and robust algorithms become necessary for an acceptable performance. For the proposed approach, a low cost Inertial Measurement Unit (IMU), formed by 3-axis gyroscope, 3-axis accelerometer, and 3-axis magnetometer, provides the input measurements. Experimental results with real data show that the proposed algorithm is able to maintain an accurate and drift-free attitude and heading estimation.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherIEEE Press. Institute of Electrical and Electronics Engineers
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshKalman fitlering
dc.subject.lcshAircraft instrumentation
dc.subject.lcshMagnetometers
dc.subject.lcshInertial navigation
dc.subject.lcshAttitude and heading reference system
dc.titleAn attitude and heading reference system (AHRS) based in a dual filter
dc.typeConference lecture
dc.subject.lemacKalman, Filtratge de
dc.subject.lemacNavegació -- Inèrcia (Mecànica)
dc.subject.lemacSistemes de referència d'actitut i rumb
dc.contributor.groupUniversitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents
dc.identifier.doi10.1109/ETFA.2011.6059089
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac9644215
dc.description.versionPostprint (published version)
local.citation.authorMunguia, R.; Grau, A.
local.citation.contributorIEEE International Conference on Emerging Technologies and Factory Automation
local.citation.pubplaceToulouse
local.citation.publicationName16th IEEE International Conference on Emerging Techonologies and Factory Automation (EFTA'11) Proceedings
local.citation.startingPage1
local.citation.endingPage8


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