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dc.contributor.authorTyler, Nevilleen_GB
dc.contributor.authorAllen, Benen_GB
dc.contributor.authorAghvami, A.Hamiden_GB
dc.date.accessioned2013-03-19T12:29:56Z
dc.date.available2013-03-19T12:29:56Z
dc.date.issued2007
dc.identifier.citationTyler, N., Allen, B., Aghvami, A.H. (2007) 'Cost-Variant Sage: Field Trails and Results, Antennas and Propagation Conference, . LAPC 2007. Loughborough ,pp.93-96, 2-3 April 2007en_GB
dc.identifier.doi10.1109/LAPC.2007.367439
dc.identifier.urihttp://hdl.handle.net/10547/273272
dc.description.abstractBy extending the Space-Alternating Generalised Expectation-Maximisation (SAGE) parameter estimation algorithm to include a novel cost variant process, the robustness of Direction of Arrival (DoA) estimation from the SAGE algorithm is shown here to improve. A novel extension to the standard SAGE algorithm that enhances the parameter estimation process is first introduced. Field trials that have been conducted using an adaptive antenna to verify the performance of this algorithm are presented. Results show the extended SAGE algorithm improves DoA performance compared to standard SAGE by 5deg when operating in an urban environment.
dc.language.isoenen
dc.publisherIEEEen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4218474en_GB
dc.subjectantenna arraysen_GB
dc.subjectantennas and propagationen_GB
dc.subjectcostsen_GB
dc.subjectdirection of arrival estimationen_GB
dc.subjecteducational institutionsen_GB
dc.subjectFCCen_GB
dc.subjectlinear antenna arraysen_GB
dc.subjectparameter estimationen_GB
dc.subjectrobustnessen_GB
dc.subjectwireless networksen_GB
dc.titleCost-variant sage: field trails and resultsen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentKing's College, Londonen_GB
html.description.abstractBy extending the Space-Alternating Generalised Expectation-Maximisation (SAGE) parameter estimation algorithm to include a novel cost variant process, the robustness of Direction of Arrival (DoA) estimation from the SAGE algorithm is shown here to improve. A novel extension to the standard SAGE algorithm that enhances the parameter estimation process is first introduced. Field trials that have been conducted using an adaptive antenna to verify the performance of this algorithm are presented. Results show the extended SAGE algorithm improves DoA performance compared to standard SAGE by 5deg when operating in an urban environment.


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