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Complexity Reduction in AoA Estimation with root-MUSIC
, M.Sc. Thesis Sharif University of Technology ; Bastani, Mohammad Hassan (Supervisor) ; Karbasi, Mohammad (Co-Supervisor)
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...
A novel solution for root-MUSIC with reduced complexity
, Article 6th Iranian Conference on Radar and Surveillance Systems, ICRSS 2019, 4 December 2019 through 6 December 2019 ; 2019 ; 9781728129372 (ISBN) ; Karbasi, S. M ; Bastani, M. H ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
The root-MUSIC algorithm is a popular method to estimate Angle of Arrival (AoA) as an extension of multiple signal classification (MUSIC). In this paper, we have proposed a novel solution for the root-MUSIC algorithm. The new method exhibits a much lower computational complexity, while maintaining the same theoretical performance as the root-MUSIC. © 2019 IEEE
A MSWF root-MUSIC based on Pseudo-noise resampling technique
, Article Electronics Letters ; Volume 57, Issue 17 , 2021 , Pages 675-678 ; 00135194 (ISSN) ; Aref, M. R ; Sharif University of Technology
John Wiley and Sons Inc
2021
Abstract
This paper uses the shift-invariance property of uniform linear array in root-MUSIC estimator for obtaining signal and noise subspaces by applying multistage Wiener filter (MSWF) procedure. Also, the MSWF root-MUSIC based on the pseudo-noise resampling process for estimating the direction of arrival (DOA) of signals is proposed. By this process, a root estimator bank and a corresponding DOA estimator bank are constructed. Then, a hypothesis test is applied to the DOA estimator bank to detect the normal DOA estimators from abnormal DOA estimators called outliers. By averaging the corresponding root estimators of normal DOA estimators, the final DOAs can be determined more accurately. When all...