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Cost-variant SAGE: field trails and results

  • Ben Allen
  • , Neville Tyler
  • , A.Hamid Aghvami

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

By 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.
Original languageEnglish
Title of host publicationnan
PublisherInstitute of Electrical and Electronics Engineers Inc.
DOIs
Publication statusPublished - 1 Jan 2007
Event2007 Loughborough Antennas and Propagation Conference - Loughborough
Duration: 2 Apr 20073 Apr 2007

Conference

Conference2007 Loughborough Antennas and Propagation Conference
CityLoughborough
Period2/04/073/04/07
Other2007 Loughborough Antennas and Propagation Conference (02/04/2007-03/04/2007, Loughborough)

Keywords

  • mobile wireless networks

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