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Evaluation of selected subspace tracking algorithms for direction finding

Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007.

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Bibliographic Details
Main Author: Mitchley, Ryan
Other Authors: Lourens, J. G.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2008
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access_status_str Open Access
author Mitchley, Ryan
author2 Lourens, J. G.
author_browse Lourens, J. G.
Mitchley, Ryan
author_facet Lourens, J. G.
Mitchley, Ryan
author_sort Mitchley, Ryan
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007.
format Thesis
id oai:scholar.sun.ac.za:10019.1/1801
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:43:37.288Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2008
publishDateRange 2008
publishDateSort 2008
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/1801 Evaluation of selected subspace tracking algorithms for direction finding Mitchley, Ryan Lourens, J. G. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Theses -- Electrical and electronic engineering Dissertations -- Electrical and electronic engineering Radio direction finders Antennas (Electronics) Electrical and Electronic Engineering Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007. This thesis examines three reduced complexity algorithms for subspace tracking in the context of radio direction finding. Projection Approximation Subspace Tracking (Yang), the Fast Data Projection Method (Doukopoulos and Moustakides) and OPERA (MacInnes) are presented and compared in terms of performance and efficiency. The algorithms’ performances are contrasted using step changes in direction of arrival, sensitivity to noise and minimum angular discrimination. Their relative efficiencies are examined by comparing their theoretical complexities and by assessing benchmark results. The construction of a PC based signal simulator and direction finding client using the MUSIC algorithm are described. The results of a field assessment of the algorithms are presented, and finally, conclusions regarding the relative merits of the algorithms are drawn. 2008-01-15T10:40:38Z 2010-06-01T08:33:40Z 2008-01-15T10:40:38Z 2010-06-01T08:33:40Z 2007-03 Thesis http://hdl.handle.net/10019.1/1801 en University of Stellenbosch 2059412 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Theses -- Electrical and electronic engineering
Dissertations -- Electrical and electronic engineering
Radio direction finders
Antennas (Electronics)
Electrical and Electronic Engineering
Mitchley, Ryan
Evaluation of selected subspace tracking algorithms for direction finding
title Evaluation of selected subspace tracking algorithms for direction finding
title_full Evaluation of selected subspace tracking algorithms for direction finding
title_fullStr Evaluation of selected subspace tracking algorithms for direction finding
title_full_unstemmed Evaluation of selected subspace tracking algorithms for direction finding
title_short Evaluation of selected subspace tracking algorithms for direction finding
title_sort evaluation of selected subspace tracking algorithms for direction finding
topic Theses -- Electrical and electronic engineering
Dissertations -- Electrical and electronic engineering
Radio direction finders
Antennas (Electronics)
Electrical and Electronic Engineering
url http://hdl.handle.net/10019.1/1801
work_keys_str_mv AT mitchleyryan evaluationofselectedsubspacetrackingalgorithmsfordirectionfinding