Skip to main content

Feature-Based Automatic Modulation Recognition Design for Vehicular Network Communication

  • Conference paper
  • First Online:
  • 1914 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 364))

Abstract

The Software defined radios (SDR) concept [1, 2] suggests that future radio systems will support multi-standard, multimode and multiband wireless communications. As described in the survey [3], this technology also could be utilized in the vehicle to vehicle network, where existing multi-standards communication protocol currently. This agile radio system could be utilized through two main processors: Automatic Modulation Recognition (AMR) and Demodulation of digitally modulated communication signals. The AMR method can be described as blind identification of the modulation scheme used to format digital data embedded in a received signal. This technology is studied and developed in this work by utilizing a new feature-based method.

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

Buying options

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

Learn about institutional subscriptions

References

  1. Mitola J (1997) Software radio technology challenges and opportunities. SW Radio Workshop, Brussels

    Google Scholar 

  2. Buracchini E (2000) The software radio concept. IEEE Commun Magazine

    Google Scholar 

  3. Ge Y (2015) Software defined radios survey for vehicular network communication. Automot Eng

    Google Scholar 

  4. Ge Y (2012) Automatic modulation recognition using the discrete wavelet transform, accepted as oral presentation by IEEE 2013 SDR- WInnComm

    Google Scholar 

  5. Azzouz EE, Nandi AK (1995) Automatic identification of digital modulation types. Signal Process 47(1):55–69

    Article  MATH  Google Scholar 

  6. Soliman SS, Hsue S-Z (1992) Signal classification using statistical moments. IEEE Trans Comm 40(5):908–916

    Article  MATH  Google Scholar 

  7. Dobre OA, Abdi A, Bar-Ness Y, Su W (2007) A survey of automatic modulation classification techniques: classical approaches and new trends. IET Commun 1(2):137–157

    Article  Google Scholar 

  8. Ho KC, Prokopiw W, Chan YT (2000) Modulation identification of digital signals by the wavelet transform. Proc IEE–Radar Sonar Navig 147:169–176

    Article  Google Scholar 

  9. Hong L, Ho KC (1999) Identification of digital modulation types using the wavelet transform. Mil Commun Conf Proc 1:427–431

    Google Scholar 

  10. Jin J-D, Kwak Y, Lee K-W, Lee KH, Ko S-J (2004) Modulation type classification method using wavelet transform for adaptive modulator. In: IEEE proceedings international symposium intelligent signal processing and communication systems, pp 282–292

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yao Ge .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Ge, Y., Shu, Z., Daut, D. (2016). Feature-Based Automatic Modulation Recognition Design for Vehicular Network Communication. In: Proceedings of SAE-China Congress 2015: Selected Papers. Lecture Notes in Electrical Engineering, vol 364. Springer, Singapore. https://doi.org/10.1007/978-981-287-978-3_23

Download citation

  • DOI: https://doi.org/10.1007/978-981-287-978-3_23

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-977-6

  • Online ISBN: 978-981-287-978-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics