Threshold calculation scheme with filter bank in signal detection

Hiroyuki Odani, Yukitoshi Sanada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In signal detection for cognitive radio, it is desirable to calculate a threshold within a short observation period since noise power changes in accordance with the amplification factor and the temperature of a low noise amplifier in a receiver. This paper proposes a threshold calculation scheme with a filter bank. The proposed scheme uses a more number of noise samples output from the filter bank to calculate the threshold. Thus, the proposed scheme can improve the accuracy of the calculated thresholds and it leads to increase the probability of detection. Numerical results obtained through computer simulation show that the proposed scheme reduces the required sample per energy by 0.5dB at a detection probability of 0.99.

    Original languageEnglish
    Title of host publication2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages104-108
    Number of pages5
    ISBN (Electronic)9781509040759
    DOIs
    Publication statusPublished - 2016 Dec 8
    Event7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia
    Duration: 2016 Nov 62016 Nov 9

    Other

    Other7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
    CountryAustralia
    CitySydney
    Period16/11/616/11/9

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Energy Engineering and Power Technology
    • Control and Optimization
    • Signal Processing

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  • Cite this

    Odani, H., & Sanada, Y. (2016). Threshold calculation scheme with filter bank in signal detection. In 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 (pp. 104-108). [7778746] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartGridComm.2016.7778746