Comparative study for broadband direction of arrival estimation techniques

Mohamed Abubaker Alrmah, Mohammed Nuri Hussin, Stephan Weiss, Sangarapillai Lambotharan

Research output: Contribution to conferencePaper

Abstract

This paper reviews and compares three different linear algebraic signal subspace techniques for broadband direction of arrival estimation --- (i) the coherent signal subspace approach, (ii) eigenanalysis of the parameterised spatial correlation matrix, and (iii) a polynomial version of the multiple signal classification algorithm. Simulation results comparing the accuracy of these
methods are presented.

Conference

Conference9th IMA International Conference on Mathematics in Signal Processing
CountryUnited Kingdom
CityBirmingham
Period17/12/1220/12/12

Fingerprint

Direction of arrival
Polynomials

Keywords

  • comparative study
  • broadband direction
  • arrival estimation techniques

Cite this

Alrmah, M. A., Hussin, M. N., Weiss, S., & Lambotharan, S. (2012). Comparative study for broadband direction of arrival estimation techniques. 1-4. Paper presented at 9th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.
Alrmah, Mohamed Abubaker ; Hussin, Mohammed Nuri ; Weiss, Stephan ; Lambotharan, Sangarapillai. / Comparative study for broadband direction of arrival estimation techniques. Paper presented at 9th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.4 p.
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abstract = "This paper reviews and compares three different linear algebraic signal subspace techniques for broadband direction of arrival estimation --- (i) the coherent signal subspace approach, (ii) eigenanalysis of the parameterised spatial correlation matrix, and (iii) a polynomial version of the multiple signal classification algorithm. Simulation results comparing the accuracy of thesemethods are presented.",
keywords = "comparative study , broadband direction , arrival estimation techniques",
author = "Alrmah, {Mohamed Abubaker} and Hussin, {Mohammed Nuri} and Stephan Weiss and Sangarapillai Lambotharan",
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note = "9th IMA International Conference on Mathematics in Signal Processing ; Conference date: 17-12-2012 Through 20-12-2012",

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Alrmah, MA, Hussin, MN, Weiss, S & Lambotharan, S 2012, 'Comparative study for broadband direction of arrival estimation techniques' Paper presented at 9th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom, 17/12/12 - 20/12/12, pp. 1-4.

Comparative study for broadband direction of arrival estimation techniques. / Alrmah, Mohamed Abubaker; Hussin, Mohammed Nuri; Weiss, Stephan; Lambotharan, Sangarapillai.

2012. 1-4 Paper presented at 9th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

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AU - Alrmah, Mohamed Abubaker

AU - Hussin, Mohammed Nuri

AU - Weiss, Stephan

AU - Lambotharan, Sangarapillai

PY - 2012/12/17

Y1 - 2012/12/17

N2 - This paper reviews and compares three different linear algebraic signal subspace techniques for broadband direction of arrival estimation --- (i) the coherent signal subspace approach, (ii) eigenanalysis of the parameterised spatial correlation matrix, and (iii) a polynomial version of the multiple signal classification algorithm. Simulation results comparing the accuracy of thesemethods are presented.

AB - This paper reviews and compares three different linear algebraic signal subspace techniques for broadband direction of arrival estimation --- (i) the coherent signal subspace approach, (ii) eigenanalysis of the parameterised spatial correlation matrix, and (iii) a polynomial version of the multiple signal classification algorithm. Simulation results comparing the accuracy of thesemethods are presented.

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KW - broadband direction

KW - arrival estimation techniques

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Alrmah MA, Hussin MN, Weiss S, Lambotharan S. Comparative study for broadband direction of arrival estimation techniques. 2012. Paper presented at 9th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.