Evaluating the Feasibility of Establishing Full-Duplex Underwater Acoustic Channels

Abstract

Multipath fading, severe bandwidth limitation, non-Gaussian noise, and large propagation delays combine to make an underwater acoustic network (UAN) one of the more challenging ad hoc networking environments. It is important to refine the traditional networking protocols to optimize their performance for the given physical layer constraints of UANs [5]. One such refinement, the use of full-duplex channels, has been proposed for mitigating the performance penalties induced by large signal propagation delays that are inherent with UANs. Some full-duplex aerial acoustic communication capabilities were demonstrated recently [7]. However, due to the harsher physical environment in the ocean, the underwater acoustic research community in general was not convinced that the same level of performance would be attainable underwater. Furthermore, because of the scarcity of underwater acoustic bandwidth, bandwidth efficiency should not be sacrificed for the sake of full-duplex. This paper presents for the first time positive evidences that it is feasible to establish bandwidth efficient full-duplex underwater acoustic channels using Code Division Multiplex Access (CDMA) techniques.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2004
Accession Number
ADA487325

Entities

People

  • Geoffrey G. Xie
  • John H. Gibson
  • Kurtulus Bektas

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Acoustic Channels
  • Acoustic Communications
  • Bandwidth
  • Code Division Multiple Access
  • Communication Channels
  • Communication Systems
  • Computer Programs
  • Computers
  • Data Transmission
  • Digital Communications
  • Frequency Agility
  • Frequency Division Multiple Access
  • Modulation
  • Multiple Access
  • Network Science
  • Operating Systems
  • Transducers

Readers

  • Maritime and Naval Warfare Studies
  • Radio communications and signal processing.
  • Systems Analysis and Design