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    Ultrawide Bandwidth Receiver Based on a Multivariate Generalized Gaussian Distribution

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    Type
    Article
    Authors
    Ahmed, Qasim Zeeshan
    Park, Kihong cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Center for Uncertainty Quantification in Computational Science and Engineering (SRI-UQ)
    Electrical Engineering Program
    Communication Theory Lab
    Date
    2015-04
    Permanent link to this record
    http://hdl.handle.net/10754/575731
    
    Metadata
    Show full item record
    Abstract
    Multivariate generalized Gaussian density (MGGD) is used to approximate the multiple access interference (MAI) and additive white Gaussian noise in pulse-based ultrawide bandwidth (UWB) system. The MGGD probability density function (pdf) is shown to be a better approximation of a UWB system as compared to multivariate Gaussian, multivariate Laplacian and multivariate Gaussian-Laplacian mixture (GLM). The similarity between the simulated and the approximated pdf is measured with the help of modified Kullback-Leibler distance (KLD). It is also shown that MGGD has the smallest KLD as compared to Gaussian, Laplacian and GLM densities. A receiver based on the principles of minimum bit error rate is designed for the MGGD pdf. As the requirement is stringent, the adaptive implementation of the receiver is also carried out in this paper. Training sequence of the desired user is the only requirement when implementing the detector adaptively. © 2002-2012 IEEE.
    Sponsors
    This work was supported by the Qatar National Research Fund (a member of Qatar Foundation) under NPRP Grant NPRP 5-250-2-087. The statements made herein are solely the responsibility of the authors. The associate editor coordinating the review of this paper and approving it for publication was Y. Zeng.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Wireless Communications
    ISSN
    15361276
    DOI
    10.1109/TWC.2014.2372775
    ae974a485f413a2113503eed53cd6c53
    10.1109/TWC.2014.2372775
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Electrical Engineering Program; Communication Theory Lab; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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