Proc. IEEE Asilomar Conference on Signals, Systems and Computers,
Oct. 26-30, 2008.
Advanced Sonar Processing Techniques for Underwater Acoustic
Multi-Input Multi-Output Communications
Brian Stein (1)(2),
Yang You (1)(2),
Terry J. Brudner (1) and
Brian L. Evans (2),
(1) Applied Research Laboratories,
The University of Texas at Austin,
Austin, TX USA
stein2k@gmail.com
(2) Department of Electrical
and Computer Engineering,
The University of Texas at Austin,
Austin, TX USA
bevans@ece.utexas.edu
Paper -
Poster
RFI Mitigation Research at UT Austin
Abstract
This paper investigates the issue of high-rate, underwater acoustic
communication and the potential of multi-input multi-output (MIMO)
techniques to achieve that end; further, this paper suggests that
implementation of such a system would benefit from sonar array
processing techniques such as multichannel combining.
In order to justify this assertion, this paper first develops an
algorithm for a hybrid array processing, decision feedback equalization (DFE)
MIMO receiver.
Subsequently, the hybrid receiver is compared against a traditional
MIMO-DFE receiver of similar complexity.
These simulations demonstrate that the hybrid receiver improves
receiver communication performance and attains higher spatial diversity
compared to a traditional MIMO-DFE receiver structure.
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Last Updated 11/24/08.