Angle of arrival estimation for broadband signals: a comparison

Mohamed Abubaker Alrmah, Stephan Weiss, Soydan Redif, Sangarapillai Lambotharan, John G. McWhirter

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)
214 Downloads (Pure)


This paper reviews and compares three different linear algebraic signal subspace techniques for angle of arrival estimation. These include a polynomial matrix approach to multiple signal classification (MUSIC), a parameterised spatial covariance matrix approach, and an auto-focussing based version of coherent signal subspace estimation applied to MUSIC. These approaches are expressed in the framework of polynomial space-time covariance matrices and their polynomial eigenvalue decomposition, thus highlighting their commonalities and differences. Simulation results comparing the accuracy of these broadband angle of arrival estimation methods are presented.
Original languageEnglish
Number of pages6
Publication statusPublished - 2 Dec 2013
EventIET Intelligent Signal Processing Conference - London, United Kingdom
Duration: 2 Dec 20133 Dec 2013


ConferenceIET Intelligent Signal Processing Conference
Country/TerritoryUnited Kingdom


  • arrival estimation
  • broadband signals
  • comparison


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