Skip to search boxSkip to navigationSkip to main content

Cost-variant SAGE: field trails and results

  • Ben Allen
    ,
  • Neville Tyler
    ,
  • A.Hamid Aghvami
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-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.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Publication milestones

  • Published - 01/01/2007

Publication status

Published - 01/01/2007

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication IDs

  • handle.net: 10547/273272
  • Scopus: 34548749720

Host publication title

nan

Access to documents