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    CHANNEL AND SPECTRUM ESTIMATION FOR SOFTWARE DEFINED RADIO

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    ITC_2019_19-02-01.pdf
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    Author
    Sanchez, Connor D.
    Radzicki, Vincent R.
    Advisor
    Lee, Hua
    Affiliation
    Univ California Santa Barbara, Dept Electrical and Computer Engineering
    Issue Date
    2019-10
    
    Metadata
    Show full item record
    Publisher
    International Foundation for Telemetering
    Journal
    International Telemetering Conference Proceedings
    URI
    http://hdl.handle.net/10150/635227
    Additional Links
    http://www.telemetry.org/
    Abstract
    Software defined radios are rapidly increasing in both research and commercial usage for many different applications. As the number of deployed systems increase, a difficult problem that remains is efficient usage of the Radio-Frequency (RF) spectrum to be shared among all these devices. Two key tasks for the radio to perform here include spectral estimation of the RF environment and channel estimation of the communication channel for which the data will be transmitted. These two steps are linked as the communication channel can change over different portions of the RF-spectrum. In this work, an algorithmic approach is presented for passive and active channel estimation procedures for wideband software-defined radios. The algorithm is comprised of first channel quality estimation followed by communication channel planning to optimize the overall performance.
    Type
    text
    Proceedings
    Language
    en_US
    ISSN
    0884-5123
    0074-9079
    Sponsors
    International Foundation for Telemetering
    Collections
    International Telemetering Conference Proceedings, Volume 55 (2019)

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