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

3 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
Volume2017-December
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

Other

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

ASJC Scopus subject areas

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

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  • Cite this

    Kim, N. K., & Oh, S-J. (2017). Comparison of methods for parameter estimation of frequency hopping signals. In International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017 (Vol. 2017-December, pp. 567-569). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2017.8191042