Skip to main content
SpringerLink
Log in

On the Detection Algorithm for Faster-than-Nyquist Signaling

  • Conference paper
  • First Online:
Book cover Information Technology and Intelligent Transportation Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 455))

  • 1294 Accesses

Abstract

FTN has been proposed for several decades, and it is attractive for the reason that it can boost the symbol rate without changing the power spectral density. Actually, FTN has been used in some 5G standards. FTN signaling detection is an important element in FTN signaling scheme. In this paper, we shall introduce some FTN signaling detection algorithms that were proposed in literatures.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

Notes

  1. 1.

    The min phase is theoretically feasible, but unstable.

References

  1. Mazo JE (1975) Faster-than-Nyquist signalling. Bell Syst Tech J 54:1451–1462

    Article  MathSciNet  MATH  Google Scholar 

  2. Forney GD Jr (1972) Maximum likelihood sequence estimation of digital sequences in the presence of intersymbol interference. IEEE Trans Inform Theory 18:363–378

    Article  MathSciNet  MATH  Google Scholar 

  3. Forney GD (1973) The Viterbi algorithm. Proc IEEE 61(3):268–278

    Article  MathSciNet  Google Scholar 

  4. Sugiura S (2013) Frequence-domain equalization of faster-than-Nyquist signaling. IEEE Wirel Commun Lett 2:555–558

    Article  Google Scholar 

  5. Bahl LR, Cocke J, Jelinek F, Raviv J (1974) Optimal decoding of linear codes for minimize the symbol error rate. IEEE Trans Inform Theory 20:284–287

    Article  MathSciNet  MATH  Google Scholar 

  6. Anderson JB, Prlja A, Rusek F (2009) New reduced state space BCJR algorithms for the ISI channel. In: ISIT 2009. Seoul, Korea

    Google Scholar 

  7. Prlja A, Anderson JB (2012) Reduced-complexity receivers for strongly narrowband intersymbol interference introduced by faster-than-Nyquist signaling. IEEE Trans Commun 60:2591–2601

    Article  Google Scholar 

  8. Loeliger HA, Hu J, Korl S, Guo Q, Li P (2006) Gaussian message passing on linear models: an update. In: Internatioanl symposium on turbo codes and related topics

    Google Scholar 

  9. Guo Q, Ping L (2008) Lmmse turbo equalization based on factor graphs. IEEE J Sel Areas Commun 26(2):311–319

    Article  Google Scholar 

  10. Şen P, Aktaş T, Yılmaz AO (2014) A low-complexity graph-based LMMSE receiver designed for colored noise induced by FTN-signaling. In: IEEE WCNC, pp 642–647

    Google Scholar 

  11. Douillard C, Jézéquel M, Berrou C (1995) Iterative correction of intersymbol interference: turbo-equalization. Eur Trans Commun 6:507–511

    Google Scholar 

  12. Hagenauera J, Hoeher P (1989) A Viterbi algortihm with soft-decision outputs and its applications. In: IEEE GOLBECOM 1989, Dallas, vol 3, pp 1680–1686

    Google Scholar 

  13. Sugiura S, Hanzo L (2015) Frequency-domain equalization aided iterative detection of faster-than-Nyquist signaling. IEEE Trans Veh Technol 64:2122–2128

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. PLA University of Science and Technology, Nanjing, 210007, China

    Biao Cai, Xiaohu Liang, Qingshuang Zhang & Yuyang Zhang

Authors
  1. Biao Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaohu Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qingshuang Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yuyang Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Biao Cai .

Editor information

Editors and Affiliations

  1. Department of Automation and Applied Informatics, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. University of South Australia, Bournemouth University, Poole, UK, and University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

  3. School of Information Engineering, Chang'an University, Xi'an, China

    Xiangmo Zhao

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this paper

Cite this paper

Cai, B., Liang, X., Zhang, Q., Zhang, Y. (2017). On the Detection Algorithm for Faster-than-Nyquist Signaling. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-38771-0_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-38771-0_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38769-7

  • Online ISBN: 978-3-319-38771-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation