Underwater channel design for diver communication

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Underwater channels are usually considered to be very difficult media for communication purposes. There are many reasons that pull back us from considering these types of channels for communication purposes. Limited bandwidth, Doppler effect, multipath propagation etc are some of those reasons. These reasons limit the usage of underwater channel for wide range of applications.Optical waves, RF waves and acoustic waves are generally used. Among the methods, acoustic waves are used in most of the cases since less attenuation and scattering properties are offered by acoustic waves. There are many acoustic channel models existing but require some improvisations according to the diving application. An efficient acoustic underwater channel for diver communication is designed and implemented in this paper. Rayleigh channel model is considered in our algorithm that can deal with multipath propagation and Doppler effect with underwater specifications incorporated to it.This method gives a better result compared to OFDM and MIMO models. Further, a comparison between different modulation techniques like ASK, BPSK and QAM have been done. Results show QAM is a better modulation scheme for underwater environment.


  • Keywords


    Communication Purposes; Doppler Effect; Modulation Techniques; Multipath Propagation; Underwater Channel.

  • References


      [1] Julio Diogo Miranda Xavier, “Modulation Analysis for an Underwater Communication”,working version FEUP, 2012.

      [2] K.A. UnnikrishnanMenon et.al, “Intelligent System for Remote Health Monitoring of Divers using Underwater Acoustic Communication”, Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on, Hefei, 2014.

      [3] Huakui Wang et.al,“Study of Noise Mitigation for Underwater Acoustic Channel” International Industrial Informatics and Computer Engineering Conference (IIICEC 2015).https://doi.org/10.2991/iiicec-15.2015.353.

      [4] Dr. S. Veni, Murugan, S. S., and Natarajan, V., “Modified LMS adaptive algorithm for detection of underwater acoustic signals against ambient noise in shallow water of Indian sea”, 2011 International Conference on Recent Trends in Information Technology (ICRTIT), IEEE 2011.

      [5] Milica Stojanovic and James Preisig, “Underwater Acoustic Communication Channels: Propagation Models and Statistical Characterization”, underwater communication channels, IEEE communications magazine, 2009.

      [6] HibiscaLiaw ,“Underwater measurements of heart rate”, A Thesis, Georgia Institute of Technology, May, 2013.

      [7] CorentinAltepe et.al, “Design and Validation of a Breathing Detection System for Scuba Divers”, Sensors, 2017.https://doi.org/10.3390/s17061349.

      [8] K.A. UnnikrishnanMenon et.al, “Monitoring and Analysis of Lung sounds for the Diagnosis ofLung Abnormalities”, published in IEEE-2014.

      [9] Rinu Sara Ranjith,Vishwas H.N, “Evaluation Study of Secondary Cluster Head Selection using Fuzzy Logic in WSN for Conservation of Battery Energy”, International Conference on Inventive Communication and Computational Technologies (ICICCT 2017).

      [10] Tobias Cibis, Student Member IEEE, EMBS, Benjamin H. Groh, Heike Gatermann, Heike Leutheuser, Student Member IEEE, EMBS and Bjoern M. Eskofier, Member IEEE, EMBS, “Wearable Real-Time ECG Monitoring with Emergency Alert System for Scuba Diving”, IEEE-2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Pages: 6074 - 6077 , 2015.

      [11] N. Miskovic, D. Nad and I. Rendulic, "Tracking Divers: An Autonomous Marine Surface Vehicle to Increase Diver Safety," in IEEE Robotics & Automation Magazine, vol. 22, no. 3, pp.72-84, Sept. 2015.https://doi.org/10.1109/MRA.2015.2448851.

      [12] Ashish Kumar Das et.al,“Underwater communication system for deep sea divers using visible light”, Published inRegion 10 Conference (TENCON), 2016 IEEE.

      [13] S.Kiruba Veniet.al, “Adaptive Algorithm for Detection of Underwater Acoustic Signals Against Ambient Noise in Shallow Water at Indian Seas”, 2011 International Conference on Emerging Trends in Electrical and Computer Technology, IEEE 2011.https://doi.org/10.1109/ICETECT.2011.5760219.

      [14] T.-L. He and E. Cheng, “Simulation and analysis of underwater acoustic spread spectrum system based on lab view,” 2010.

      [15] Kevin J. DeMarco et.al, “Underwater Human-Robot Communication: A Case Study with Human Divers”, 2014 IEEE International Conference on Systems, Man, and Cybernetics, October 5-8, 2014, San Diego, CA, USA.https://doi.org/10.1109/SMC.2014.6974512.

      [16] Adarsh J et.al, “Adaptive Noise Cancellation using NLMS Algorithm in GNU Radio”,2017 International Conference on Advanced Computing and Communication Systems (ICACCS -2017), Jan. 06 – 07, 2017, Coimbatore, INDIA.https://doi.org/10.1109/ICACCS.2017.8014658.


 

View

Download

Article ID: 9352
 
DOI: 10.14419/ijet.v7i1.9352




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.