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    Compressive Sensing for Blockage Detection in Vehicular Millimeter Wave Antenna Arrays

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    Type
    Conference Paper
    Authors
    Eltayeb, Mohammed E.
    Al-Naffouri, Tareq Y. cc
    Heath, Robert W.
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    KAUST Grant Number
    OSR-2016-KKI-2899
    Date
    2017-02-07
    Online Publication Date
    2017-02-07
    Print Publication Date
    2016-12
    Permanent link to this record
    http://hdl.handle.net/10754/623809
    
    Metadata
    Show full item record
    Abstract
    The radiation pattern of an antenna array depends on the excitation weights and the geometry of the array. Due to mobility, some vehicular antenna elements might be subjected to full or partial blockages from a plethora of particles like dirt, salt, ice, and water droplets. These particles cause absorption and scattering to the signal incident on the array, and as a result, change the array geometry. This distorts the radiation pattern of the array mostly with an increase in the sidelobe level and decrease in gain. In this paper, we propose a blockage detection technique for millimeter wave vehicular antenna arrays that jointly estimates the locations of the blocked antennas and the attenuation and phase-shifts that result from the suspended particles. The proposed technique does not require the antenna array to be physically removed from the vehicle and permits real-time array diagnosis. Numerical results show that the proposed technique provides satisfactory results in terms of block detection with low detection time provided that the number of blockages is small compared to the array size.
    Citation
    Eltayeb ME, Al-Naffouri TY, Heath RW (2016) Compressive Sensing for Blockage Detection in Vehicular Millimeter Wave Antenna Arrays. 2016 IEEE Global Communications Conference (GLOBECOM). Available: http://dx.doi.org/10.1109/glocom.2016.7841677.
    Sponsors
    This research was partially supported by the U.S. Department of Transportation through the Data-Supported Transportation Operations and Planning (D-STOP) Tier 1 University Transportation Center and by the Texas Department of Transportation under Project 0-6877 entitled Communications and Radar-Supported Transportation Operations and Planning (CAR-STOP). The work of T. Y. Al-Naffouri is supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-2016-KKI-2899.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2016 IEEE Global Communications Conference (GLOBECOM)
    DOI
    10.1109/glocom.2016.7841677
    Additional Links
    http://ieeexplore.ieee.org/document/7841677/
    ae974a485f413a2113503eed53cd6c53
    10.1109/glocom.2016.7841677
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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