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

(2) Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX USA

Paper - Poster

RFI Mitigation Research at UT Austin


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.