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    Low-sampling-rate M-ary multiple access UWB communications in multipath channels

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    UWBPaperEusipco2015V5.pdf
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    Type
    Conference Paper
    Authors
    Alkhodary, Mohammad T.
    Ballal, Tarig
    Al-Naffouri, Tareq Y. cc
    Muqaibel, Ali H.
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    KAUST Grant Number
    EE002355
    Date
    2015-12-28
    Online Publication Date
    2015-12-28
    Print Publication Date
    2015-08
    Permanent link to this record
    http://hdl.handle.net/10754/609178
    
    Metadata
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    Abstract
    The desirable characteristics of ultra-wideband (UWB) technology are challenged by formidable sampling frequency, performance degradation in the presence of multi-user interference, and complexity of the receiver due to the channel estimation process. In this paper, a low-rate-sampling technique is used to implement M-ary multiple access UWB communications, in both the detection and channel estimation stages. A novel approach is used for multiple-access-interference (MAI) cancelation for the purpose of channel estimation. Results show reasonable performance of the proposed receiver for different number of users operating many times below Nyquist rate.
    Citation
    Alkhodary, M.T., Ballal, T., Al-Najfouri, T.Y. and Muqaibel, A.H., 2015, August. Low-sampling-rate M-ary multiple access UWB communications in multipath channels. In Signal Processing Conference (EUSIPCO), 2015 23rd European (pp. 374-378). IEEE.
    Sponsors
    The authors would like to acknowledge the support provided by King Fahd University of Petroleum and Minerals (KFUPM) and King Abdullah University of Science and Technology (KAUST) for funding this work through the research institute project number EE002355.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2015 23rd European Signal Processing Conference (EUSIPCO)
    Conference/Event name
    Signal Processing Conference (EUSIPCO), 2015 23rd European
    DOI
    10.1109/EUSIPCO.2015.7362408
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7362408
    ae974a485f413a2113503eed53cd6c53
    10.1109/EUSIPCO.2015.7362408
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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