Comparison of methods for parameter estimation of frequency hopping signals

Nam Kyoung Kim; Seong Jun Oh

doi:10.1109/ICTC.2017.8191042

Comparison of methods for parameter estimation of frequency hopping signals

Nam Kyoung Kim, Seong Jun Oh

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	International Conference on Information and Communication Technology Convergence
Subtitle of host publication	ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	567-569
Number of pages	3
ISBN (Electronic)	9781509040315
DOIs	https://doi.org/10.1109/ICTC.2017.8191042
Publication status	Published - 2017 Dec 12
Event	8th International Conference on Information and Communication Technology Convergence, ICTC 2017 - Jeju Island, Korea, Republic of Duration: 2017 Oct 18 → 2017 Oct 20

Publication series

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

Other

Other	8th International Conference on Information and Communication Technology Convergence, ICTC 2017
Country/Territory	Korea, Republic of
City	Jeju Island
Period	17/10/18 → 17/10/20

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

Access to Document

10.1109/ICTC.2017.8191042

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 (pp. 567-569). (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2017.8191042

Comparison of methods for parameter estimation of frequency hopping signals. / Kim, Nam Kyoung; Oh, Seong Jun.
International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 567-569 (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, NK & Oh, SJ 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. International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017, vol. 2017-December, Institute of Electrical and Electronics Engineers Inc., pp. 567-569, 8th International Conference on Information and Communication Technology Convergence, ICTC 2017, Jeju Island, Korea, Republic of, 17/10/18. https://doi.org/10.1109/ICTC.2017.8191042

Kim NK, Oh SJ. 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. Institute of Electrical and Electronics Engineers Inc. 2017. p. 567-569. (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017). doi: 10.1109/ICTC.2017.8191042

Kim, Nam Kyoung ; Oh, Seong Jun. / Comparison of methods for parameter estimation of frequency hopping signals. International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 567-569 (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017).

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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.",

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Comparison of methods for parameter estimation of frequency hopping signals

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