An eigenvalue approach to enhance energy detection in a mobile spectrum monitoring network

J.W.H. van Bloem, A.J. Hendrikse, Roelof Schiphorst, Cornelis H. Slump

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    1 Citation (Scopus)

    Abstract

    For fulfilling new tasks of the regulator, we propose a novel mobile spectrum monitoring network. The huge amount of measurement data contains besides thermal noise also noise induced by the Automatic Gain Control (AGC). As a result the occupancy results based on normal energy detection are significantly biased. In order to assess the spectrum occupancy more accurately, we employ an eigenvalue based technique to eliminate AGC noise components. This technique, using singular value decomposition, enables signal space analysis based on the received spectral data by finding an optimal threshold. In addition, this technique allows to eliminate non-linear noise induced by the AGC. In this paper we apply this method to the UMTS downlink band using collected data of a mobile measurement system. The results indicate that spectrum occupancy can be assessed 21% more accurate compared to an ITU-based method.
    Original languageUndefined
    Title of host publication5th International Conference on Signal Processing and Communication Systems, ICSPCS 2011
    Place of PublicationUSA
    PublisherIEEE
    Pages1-6
    Number of pages6
    ISBN (Print)978-1-4577-1179-4
    DOIs
    Publication statusPublished - 12 Dec 2011
    Event5th International Conference on Signal Processing and Communication Systems, ICSPCS 2011 - Outrigger Waikiki on the Beach, Honolulu, United States
    Duration: 12 Dec 201114 Dec 2011
    Conference number: 5

    Publication series

    Name
    PublisherIEEE

    Conference

    Conference5th International Conference on Signal Processing and Communication Systems, ICSPCS 2011
    Abbreviated titleICSPCS
    CountryUnited States
    CityHonolulu
    Period12/12/1114/12/11

    Keywords

    • METIS-285108
    • EWI-21463
    • IR-79626

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