Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3640912.3640932acmotherconferencesArticle/Chapter ViewAbstractPublication PagescnmlConference Proceedingsconference-collections
research-article

A transform domain communication method based on combinatorial basis function

Published: 22 February 2024 Publication History

Abstract

With the development of communication countermeasure technology, the covertness, anti-interception and anti-jamming of information transmission are more and more important. In this paper, on the basis of researching and analyzing the existing covert anti-jamming communication technology, we propose a new type of covert anti-jamming communication system, a kind of transform-domain covert communication based on combining basis functions. The communication system maps part of the information into a combination of frequency points, and the same information maps different combinations of frequency points, the combination of frequency points as the amplitude spectrum of the basis function, and then another part of the information through the transform domain modulation technology modulated into both strong concealment and strong anti-jamming ability, but also has a higher information transmission efficiency of the time domain transmission waveform, to provide a new idea for China's satellite covert communication. The simulation results verify the effectiveness of the method.

References

[1]
Tripathi N, Sharma K K, Pandey U. Analytical Review on Satellite Communication: Benefits, Issues, and Future Challenges [C]//Computer Aided Constellation Management and Communication Satellites: Proceedings of the International Conference on Small Satellites, ICSS 2022. Singapore: Springer Nature Singapore, 2023: 159-166
[2]
Qiu Y, Ren H, Gao L, The Approach to Satellite Anti-interception Communication Based on WFRFT-TDCS [C]//International Conference on Space Information Net-work. Singapore: Springer Singapore, 2019: 264-274
[3]
Lu K, Liu H, Zeng L, Applications and prospects of artificial intelligence in cov-ert satellite communication: a review [J]. Science China Information Sciences, 2023, 66(2): 121301
[4]
Melman A, Evsutin O. Comparative study of metaheuristic optimization algorithms for image steganography based on discrete Fourier transform domain [J]. Applied Soft Computing, 2023, 132: 109847
[5]
Liang Y, Xiang X, Wang R, A WFRFT-TDCS Combinatory Design to Guarantee Communication Security [C]//2021 IEEE International Conference on Consumer Elec-tronics and Computer Engineering (ICCECE). IEEE, 2021: 755-761
[6]
Liu X, Li Z, Wang B, Transform-Domain-Based Cognitive Radio Networks for Harsh Interference Environments [J]. IEEE Network, 2022, 36(4): 78-85
[7]
Wang G, Wang Y, Dong S, Multiple transformation analysis for interference sep-aration in TDCS [J]. Journal of Systems Engineering and Electronics, 2022, 33(5): 1064-1078
[8]
Liang Y, Xiang X, Wang R, A WFRFT-TDCS Combinatory Design to Guarantee Communication Security [C]//2021 IEEE International Conference on Consumer Elec-tronics and Computer Engineering (ICCECE). IEEE, 2021: 755-761
[9]
Chang C, Feng L, Zhou H, Efficient Non-Uniform Pilot Design for TDCS [J]. Sensors, 2021, 21(20): 6880
[10]
Wang S. A TDC-Based Design Method for Multi-sub-band Joint Modulation [C]//2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2020: 156-161
[11]
Faragallah O S, Farouk M, El-Sayed H S. Secret Key Optimization for Secure Speech Communications [J]. Computers, Materials & Continua, 2022, 72(2)
[12]
Azarboni H R, Ansari R, Nazarinezhad A. Chaotic dynamics and stability of functional-ly graded material doubly curved shallow shells [J]. Chaos, Solitons & Fractals, 2018, 109: 14-25
[13]
Fu Y, Guo S, Yu Z. The modulation technology of chaotic multi-tone and its applica-tion in covert communication system [J]. IEEE Access, 2019, 7: 122289-122301

Index Terms

  1. A transform domain communication method based on combinatorial basis function
    Index terms have been assigned to the content through auto-classification.

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    CNML '23: Proceedings of the 2023 International Conference on Communication Network and Machine Learning
    October 2023
    446 pages
    ISBN:9798400716683
    DOI:10.1145/3640912
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 22 February 2024

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    CNML 2023

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 8
      Total Downloads
    • Downloads (Last 12 months)8
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 21 Nov 2024

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media