Complexity Reduction in AoA Estimation with root-MUSIC

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Eskandari, Meysam | 2020

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 53993 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Bastani, Mohammad Hassan; Karbasi, Mohammad
Abstract:
Localization of radio sources has various applications in civil and military communications. Some of important localization methods consist of Angle of Arrival (AoA) estimation of the illuminated signals from the interested sources. Between various Direction Finding (DF) methods, subspace based methods are of special importance, because of their high resolution and accuracy. And from beginning of invention, because of new challenges, have been focus of numerous researches. In this thesis, first we explain the most important subspace based DF methods called MUSIC and root-MUSIC. Then a novel modification for root-MUSIC is introduced. In our new method the computational complexity of root-MUSIC is reduced while it’s accuracy is preserved. The reduction in complexity is proved theoretically and simulation results are presented
Keywords:
Computational Complexity ; Direction of Arrival (DOA)Estimation ; Subspaces ; Sound Source Localization ; root-MUSIC Method ; Radio Sources Localization ; MUSIC Method

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