Comparison of methods for parameter estimation of frequency hopping signals

Nam Kyoung Kim, Seong Jun Oh

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

    6 Citations (Scopus)

    Abstract

    In this paper, we describe a method of frequency-hopping signal detection, which is one of the methods of spread spectrum, by time-frequency analysis. Since the frequency hopping signal is a non-stationary signal, the signal changes very quickly. Therefore, time-frequency resolution is very important for detecting such non-stationary signals. The method considered in this paper is a spectrogram and has the form of a squared expression of STFT. Although the resolution of the simulation results was not good, We could get ideas on methodology to improve the resolution by applying various window functions. In addition to Spectrogram, better time-frequency resolution can be expected if various Window functions are applied to methods such as Scalogram, WVD, PWVD, SPWVD, S-Transform.

    Original languageEnglish
    Title of host publicationInternational Conference on Information and Communication Technology Convergence
    Subtitle of host publicationICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages567-569
    Number of pages3
    ISBN (Electronic)9781509040315
    DOIs
    Publication statusPublished - 2017 Dec 12
    Event8th International Conference on Information and Communication Technology Convergence, ICTC 2017 - Jeju Island, Korea, Republic of
    Duration: 2017 Oct 182017 Oct 20

    Publication series

    NameInternational Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
    Volume2017-December

    Other

    Other8th International Conference on Information and Communication Technology Convergence, ICTC 2017
    Country/TerritoryKorea, Republic of
    CityJeju Island
    Period17/10/1817/10/20

    Bibliographical note

    Funding Information:
    ACKNOWLEDGMENT This work was supported by the research fund of Signal Intelligence Research Center supervised by Defense Acquisition Program Administration and Agency for Defense Development of Korea.

    Publisher Copyright:
    © 2017 IEEE.

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Information Systems
    • Information Systems and Management

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