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    Unified Statistical Channel Model of Ship (or Shore)-to-Ship FSO Communications with Pointing Errors

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    Type
    Conference Paper
    Authors
    Jung, Kug-Jin
    Nam, Sung Sik
    Alouini, Mohamed-Slim cc
    Ko, Young-Chai
    KAUST Department
    Electrical Engineering Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2019-12-17
    Online Publication Date
    2019-12-17
    Print Publication Date
    2019-10
    Permanent link to this record
    http://hdl.handle.net/10754/660636
    
    Metadata
    Show full item record
    Abstract
    In this paper, we assume free space optical link between ships or between ship and shore and modeled the pointing error that occurs according to three typical movements of the ship. Then, we combined the pointing error models with weak atmospheric turbulence and derived the composite probability density functions (PDF) for each case of pointing errormodels. Also, using the similarity of the composite PDFs, we obtain a unified expression for the composite PDF. The numerical results confirm that the derived composite PDFs give precise prediction by comparing it with Monte-Carlo simulations.
    Citation
    Jung, K.-J., Nam, S. S., Alouini, M.-S., & Ko, Y.-C. (2019). Unified Statistical Channel Model of Ship (or Shore)-to-Ship FSO Communications with Pointing Errors. 2019 IEEE Conference on Standards for Communications and Networking (CSCN). doi:10.1109/cscn.2019.8931342
    Sponsors
    This research was supported by the National Research Foundation of Korea(NRF) grant funded by the MSIT(NRF2018R1A2B2007789).
    Publisher
    IEEE
    Conference/Event name
    2019 IEEE Conference on Standards for Communications and Networking (CSCN)
    DOI
    10.1109/CSCN.2019.8931342
    Additional Links
    https://ieeexplore.ieee.org/document/8931342/
    https://ieeexplore.ieee.org/document/8931342/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8931342
    ae974a485f413a2113503eed53cd6c53
    10.1109/CSCN.2019.8931342
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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