Skip to main content

A Rateless Transmission Scheme for Underwater Acoustic Communication

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

  • 2186 Accesses

Abstract

In view of characteristics of channel parameters changing with time and space of underwater acoustic channel, a rateless transmission scheme for adaptive transmission over underwater acoustic channels is studied in this paper. The scheme utilizes the characteristics of LT coding without fixed coding rate, and the communication efficiency is further improved through single-carrier frequency-domain equalization. Simulation results show that the scheme we proposed can effectively reduce the computational complexity compared to the rateless coding system under classical time-domain equalization. With achieving the same reliable information transmission in the same underwater acoustic channel, the redundancy required by the proposed scheme is about 1/3 of the classical retransmission method, which improves the efficiency of information transmission.

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

Access this chapter

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
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Youcef A, Laot C, Amis K. Adaptive frequency-domain equalization for underwater acoustic communications. In: OCEANS. Santander: IEEE; 2011. p. 1–6.

    Google Scholar 

  2. Akyildiz IF, Pompili D, Melodia T. Underwater acoustic sensor networks: research challenges. Ad Hoc Netw. 2005;3:257–79.

    Article  Google Scholar 

  3. Byers JW, Luby M, Mitzenmacher M, et al. A digital fountain approach to reliable distribution of bulk data. In: Proceedings of the ACM SIGCOMM 98 conference. New York: ACM; 1998. p. 56–67.

    Google Scholar 

  4. Luby M. LT codes. In: Proceedings of 43rd foundations of computer science. Vancouver: IEEE; 2002. p. 271–82.

    Google Scholar 

  5. Casari P, Rossi M, Zorzi M. Towards optimal broadcasting policies for HARQ based on fountain codes in underwater networks. In: Proceedings of wireless on demand network systems and services. Garmisch-Partenkirchen: IEEE; 2008. p. 11–9.

    Google Scholar 

  6. Tai Y, Wang H. A novel LT-Turbo equalization for long-range deep-water acoustic communication. Sci Sin-Phys Mech Astron. 2016;46(9):094313.

    Article  MathSciNet  Google Scholar 

  7. Kang Y, Kim K, Park H. Efficient DFT-based channel estimation for OFDM systems on multipath channels. IET Commun. 2007;1(2):197–202.

    Article  Google Scholar 

  8. Yuan Z, Songtao X. Application of new LMS adaptive filtering algorithm with variable step size in adaptive echo cancellation. In: International conference on communication technology (ICCT). IEEE; 2017. p. 1715–19.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhiyong Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bai, F., Liu, Z., Wang, Y. (2020). A Rateless Transmission Scheme for Underwater Acoustic Communication. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_98

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6504-1_98

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics