MIMO Underwater Acoustic Communications for Rate Enhancement and Range Extension

Abstract

Our research focuses on the horizontal underwater acoustic communications. Towards the high rate objective, we address two key issues, namely channel estimation and symbol detection. To enhance channel estimation, we propose a cyclic approach (CA) for designing training sequences and an iterative adaptive approach (IAA) for estimating the channel. We also present a minimum mean-squared error (MMSE) based symbol detector, RELAX-BLAST, which combines vertical Bell Labs Layered Space-Time (V-BLAST) algorithm and the cyclic principle of RELAX. Towards the high reliability objective, we design robust MIMO transceivers that allow for very low-complexity receiver processing while achieving superb error performance even in turbulent sea. Our unique study on the correlation between the error performance and environmental data further confirms the robustness of our designs. We also performed theoretical capacity analysis as well as practical system designs of relay-aided (RA-)UAC to augment both the reliability and transmission range.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2009
Accession Number
ADA514675

Entities

People

  • Jiantao Li
  • Liuqing Yang

Organizations

  • University of Florida

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Acoustic Communications
  • Algorithms
  • Channel Estimation
  • Data Rate
  • Detection
  • Detectors
  • Digital Signal Processing
  • Estimators
  • High Reliability
  • Matched Filters
  • Multiple Input Multiple Output
  • Reliability
  • Sequences
  • Signal Processing
  • Training
  • Transmitters
  • Underwater Acoustic Communications

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Distributed Systems and Data Platform Development
  • Radio communications and signal processing.

Technology Areas

  • Space