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    RIS-Aided DOA Estimation and Localization

    , M.Sc. Thesis Sharif University of Technology Shourezari, Ehsanollah (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    Estimating the direction of arrival (DOA) of an impinging signal from an RF scattering object, and subsequently determining its location when there is no line-of-sight (LOS) channel between the object and receiver, is a challenging issue in sensing and wireless communication systems. This thesis presents a modified multiple signal classification (MUSIC) algorithm, utilizing a single-element receive antenna and harnessing the capabilities of reconfigurable intelligent surfaces (RIS) to tackle this issue. It is demonstrated that by leveraging massive low-cost passive elements able to reflect signals with different phase shifts in consecutive snapshots, RIS can generate linearly independent...