Skip to main content
SpringerLink
Log in

Observation Interval Analysis for Faster-Than-Nyquist Signals Coherent Detection with Decision Feedback

  • Conference paper
  • First Online:
Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2021, ruSMART 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 13158))

Abstract

The method of transmitting signals above the Nyquist limit seems to be promising in terms of increasing bandwidth efficiency, but its practical application is limited by the complexity of the implementation of receiver devices, which should apply complex detection algorithms to eliminate the negative effect of intersymbol interference in the signal. In this paper, we consider a simple algorithm of elementwise detection with decision feedback and its modification, which makes it possible to increase the detection BER performance without increasing the computational complexity. The modification involves the optimization on observation interval to minimize the interference of subsequent signals during detection procedures.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mazo, J.: Faster-than-Nyquist signaling. Bell Syst. Tech. J. 54(8), 1451–1462 (1975)

    Article  MathSciNet  Google Scholar 

  2. Lavrenyuk, I., Ovsyannikova, A., Zavjalov, S., Volvenko, S., Makarov, S.: Improving energy efficiency of finite time FTN pulses detection by choosing optimal envelope shape. In: 26th International Conference on Telecommunications 2019, pp. 289–294. IEEE (2019)

    Google Scholar 

  3. Ovsyannikova, A., Zavjalov, S., Volvenko, S.: Influence of correlation coefficient on spectral and energy efficiency of optimal signals. In: 10th International Congress on Ultra-Modern Telecommunications and Control Systems and Workshops 2018, pp.1–4. IEEE (2018)

    Google Scholar 

  4. Anderson, J., Rusek, F., Öwall, V.: Faster-than-Nyquist signaling. Proc. IEEE 101(8), 1817–1830 (2013)

    Article  Google Scholar 

  5. Liveris, A., Georghiades, C.: Exploiting Faster-than-Nyquist signaling. IEEE Trans. Commun. 51(9), 1502–1511 (2003)

    Article  Google Scholar 

  6. Anderson, J., Rusek, F., Prlja, A.: Receivers for Faster-than-Nyquist signaling with and without turbo equalization. In: IEEE International Symposium on Information Theory 2008, pp. 464–468. IEEE (2008)

    Google Scholar 

  7. Makarov, S., Lavrenyuk, I., Ovsyannikova, A., Zavjalov, S.: BER performance of finite in time optimal FTN signals for the Viterbi algorithm. J. Electron. Sci. Technol. 18(1), (2020)

    Google Scholar 

  8. Bedeer, E., Ahmed, M., Yanikomeroglu, H.: A very low complexity successive symbolby-symbol sequence estimator for Faster-than-Nyquist signaling. IEEE Access 5, 7414–7422 (2017)

    Article  Google Scholar 

  9. Bedeer, E., Ahmed, M., Yanikomeroglu, H.: Reduced complexity optimal detection of binary Faster-than-Nyquist signaling. In: International Conference on Communications 2017, pp. 1–6, France (2017)

    Google Scholar 

  10. Ishihara, T., Sugiura, S., Hanzo, L.: The Evolution of Faster-than-Nyquist signaling. IEEE Access 9, 86535–86564 (2021)

    Article  Google Scholar 

Download references

Acknowledgements

The reported study was funded by RFBR according to the research project â„– 20-37-90007\20

Author information

Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Ilya Lavrenyuk & Sergey Makarov

  2. College of Information and Communication Engineering, Harbin Engineering University, Harbin, China

    Wei Xue

Authors
  1. Ilya Lavrenyuk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sergey Makarov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wei Xue
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ilya Lavrenyuk .

Editor information

Editors and Affiliations

  1. Tampere University, Tampere, Finland

    Yevgeni Koucheryavy

  2. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  3. Tampere University, Tampere, Finland

    Sergey Andreev

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lavrenyuk, I., Makarov, S., Xue, W. (2022). Observation Interval Analysis for Faster-Than-Nyquist Signals Coherent Detection with Decision Feedback. In: Koucheryavy, Y., Balandin, S., Andreev, S. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2021 2021. Lecture Notes in Computer Science(), vol 13158. Springer, Cham. https://doi.org/10.1007/978-3-030-97777-1_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-97777-1_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97776-4

  • Online ISBN: 978-3-030-97777-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation