We consider a reconfigurable intelligent surface (RIS)-aided multiuser localization systems. To handle the localization problems of all the users, we propose a multiple signal classification based orthogonal projection (MUSIC-OP) algorithm. Specifically, we apply the space alternating gener-alized expectation-maximization (SAGE) algorithm to estimate the channel from RIS to the base station (BS) with the aid of a known anchor. By projecting the received signal onto the orthogonal subspace of the cascaded channel created by the RIS and the direct channel between BS and all users, respectively, we can separate the received signal transmitted from the cascaded channel and the direct links from their superimposed signal vectors. Then, the MUSIC algorithm is employed to estimate the direction of arrival (DOA) of each user relative to both the BS and RIS, followed by subsequent localization processes. Simulation results show that the proposed MUSIC-OP algorithm has a better DOA estimation performance compared to the deterministic maximum likelihood (DML) and orthogonal matching pursuit (OMP) algorithms.


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    Title :

    RIS-Aided User Localization Design with Multiple Signal Classification Based Orthogonal Subspace Projection


    Contributors:
    Meng, Wanning (author) / Dong, Zheng (author) / Zhou, Yong (author) / Li, Lei (author) / Liu, Zhi (author)


    Publication date :

    2024-06-24


    Size :

    357465 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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