To enable the intelligent transportation systems (ITSs), using radars to monitor the road environments has recently drawn attention. However, the optimization of deployment and parameters for radars in road environments has not been well-explored. To fill this gap, we in this paper investigate the joint radar deployment and parameter optimization approach for radar networks in road environments. Specifically, considering the radar FoVs, signal and interference powers, static blockage, and the impact of radar configuration, we formulate a coverage reward maximization problem that helps optimize the configuration parameters, pan angles, transmit powers, frequency band allocation, and locations of radars. Then, based on the problem, we develop an optimization approach by first decomposing the problem into subproblems, and then conducting optimization by iteratively solving the subproblems. Simulation results show that our proposed approach can outperform the reference schemes.


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    Titel :

    Joint Optimization of Deployment and Parameters for Roadside Radars in Road Environments


    Beteiligte:
    Chen, Jian-Kai (Autor:in) / Lee, Ming-Chun (Autor:in) / Kang, Po-Chun (Autor:in) / Lee, Ta-Sung (Autor:in)


    Erscheinungsdatum :

    2023-10-10


    Format / Umfang :

    1800718 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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