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 conferencePaper

3 Citations (Scopus)

Abstract

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.

Conference

ConferenceIET Intelligent Signal Processing Conference
CountryUnited Kingdom
CityLondon
Period2/12/133/12/13

Fingerprint

Polynomials
Covariance matrix
Decomposition

Keywords

  • arrival estimation
  • broadband signals
  • comparison

Cite this

Alrmah, M. A., Weiss, S., Redif, S., Lambotharan, S., & McWhirter, J. G. (2013). Angle of arrival estimation for broadband signals: a comparison. Paper presented at IET Intelligent Signal Processing Conference, London, United Kingdom. https://doi.org/10.1049/cp.2013.2066
Alrmah, Mohamed Abubaker ; Weiss, Stephan ; Redif, Soydan ; Lambotharan, Sangarapillai ; McWhirter, John G. . / Angle of arrival estimation for broadband signals : a comparison. Paper presented at IET Intelligent Signal Processing Conference, London, United Kingdom.6 p.
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Alrmah, MA, Weiss, S, Redif, S, Lambotharan, S & McWhirter, JG 2013, 'Angle of arrival estimation for broadband signals: a comparison' Paper presented at IET Intelligent Signal Processing Conference, London, United Kingdom, 2/12/13 - 3/12/13, . https://doi.org/10.1049/cp.2013.2066

Angle of arrival estimation for broadband signals : a comparison. / Alrmah, Mohamed Abubaker; Weiss, Stephan; Redif, Soydan ; Lambotharan, Sangarapillai; McWhirter, John G. .

2013. Paper presented at IET Intelligent Signal Processing Conference, London, United Kingdom.

Research output: Contribution to conferencePaper

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T1 - Angle of arrival estimation for broadband signals

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AU - Alrmah, Mohamed Abubaker

AU - Weiss, Stephan

AU - Redif, Soydan

AU - Lambotharan, Sangarapillai

AU - McWhirter, John G.

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AB - 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.

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Alrmah MA, Weiss S, Redif S, Lambotharan S, McWhirter JG. Angle of arrival estimation for broadband signals: a comparison. 2013. Paper presented at IET Intelligent Signal Processing Conference, London, United Kingdom. https://doi.org/10.1049/cp.2013.2066