Signal detection scheme for MB-OFDM through fractional sampling

Akio Kobori, Yohei Kato, Yukitoshi Sanada

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

    Abstract

    Currently, detect and avoid (DAA) techniques of UWB have been paid large attention because it has been regulated in Japan and Europe. In this paper, a novel signal detection scheme for coexistence of UWB and the 4th generation mobile communication systems is proposed. The proposed scheme makes use of multipath through fractional sampling. The probabilities of false detection and false alarm with fractional sampling in a MB-OFDM receiver are investigated. The numerical results show that the proposed scheme with fractional sampling improves the probability of false detection by about 10 times as compared to conventional schemes. The numerical results also prove that the DFT size can be reduced without increasing the probability of false detection.

    Original languageEnglish
    Title of host publicationProceedings of the 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom 2008
    DOIs
    Publication statusPublished - 2008 Sep 19
    Event3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom 2008 - Singapore, Singapore
    Duration: 2008 May 152008 May 17

    Publication series

    NameProceedings of the 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom 2008

    Other

    Other3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom 2008
    CountrySingapore
    CitySingapore
    Period08/5/1508/5/17

    Keywords

    • 4G
    • DAA
    • Fractional sampling
    • MB-OFDM
    • UWB

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Networks and Communications
    • Human-Computer Interaction
    • Communication

    Fingerprint Dive into the research topics of 'Signal detection scheme for MB-OFDM through fractional sampling'. Together they form a unique fingerprint.

  • Cite this

    Kobori, A., Kato, Y., & Sanada, Y. (2008). Signal detection scheme for MB-OFDM through fractional sampling. In Proceedings of the 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom 2008 [4562530] (Proceedings of the 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom 2008). https://doi.org/10.1109/CROWNCOM.2008.4562530