Follow Us:

View Item 
  •   CMRE Open Library Home
  • CMRE Publications
  • Reprints
  • View Item
  •   CMRE Open Library Home
  • CMRE Publications
  • Reprints
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Decision tree-based adaptive modulation for underwater acoustic communications

Thumbnail
Abstract
Underwater acoustic channels are characterised by non-stationary fading statistics and consequently, a modulation scheme optimally designed for a specific fading model will underperform when the channel statistics change. This issue can be alleviated by using adaptive modulation, i.e., the matching of the modulation scheme to the conditions of the acoustic link. However, selecting signals from a broad range of bit rates is tedious because one needs to know the relationship between the bit error rate (BER) and all relevant channel characteristics (e.g., multipath spread, Doppler spread and signal-to-noise ratio). In this work, this relationship is extracted from large amounts of transmissions of a phase-shift keying (PSK) single-carrier modem. In particular, a decision tree is trained to associate channels with modulation schemes under a target BER. The effectiveness of the proposed tree method is demonstrated by post-processing data from two experimental links off the coast of Faial Island, Azores, Portugal.

URI
http://hdl.handle.net/20.500.12489/702

Report Number
CMRE-PR-2017-011

Source
In: 2016 IEEE Third Underwater Communications and Networking Conference (UComms)

Collections
  • Reprints

Date
2017/11

Author(s)
Pelekanakis, Konstantinos
; 
Cazzanti, Luca
; 
Zappa, Giovanni
; 
Alves, João

Show full item record
CMRE-PR-2017-011.pdf (1.043Mb)

Browse

All of CMRE Open LibraryCommunities & CollectionsBy Issue DateAuthor(s)TitlesSubjectsTypeThis CollectionBy Issue DateAuthor(s)TitlesSubjectsType

My Account

LoginRegister

  • Contact Us
  • Send Feedback
  • Employment
  • Procurement
  • Fact Sheets
  • News Feed
  • Conditions of Use
  • Publications Feed
  • Press Release
  • News Archive
  • STO (Science and Technology Organization)
  • Find us on Facebook
  • Follow us on Twitter
  • Watch us on Youtube
  • Webmail
 

 

© 2018 STO-CMRE
Powered by KnowledgeArc