By Topic

Adaptive linear turbo equalization of large delay spread time-varying channel responses

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Jun Won Choi ; Coordinated Science Laboratory, University of Illinois at Urbana Champaign, 1308 West Main St. Urbana, IL 61801, USA ; Thomas Riedl ; Erica L. Daly ; Kyeongyeon Kim
more authors

In this paper, we investigate applying linear turbo equalization techniques to underwater acoustic communications. First, we elaborate on two popular linear turbo equalizers (TEQ), a channel estimate-based minimum mean square error TEQ (CE-based MMSE-TEQ) and a direct-adaptive TEQ (DA-TEQ). We compare the behavior of both TEQ approaches in the presence of channel estimation errors and adaptation filter adjustment errors. By analyzing extrinsic information transfer (EXIT) charts, we confirm that the performance gap between these two TEQs is small after convergence. Next, we introduce an underwater receiver architecture based on the LMS DA-TEQ technique that dramatically improves the performance of the conventional decision-feedback equalizer at a feasible complexity. This receiver architecture is demonstrated using data collected from the SPACE 08 experiment. The experimental results demonstrate that the LMS DA-TEQ yields more than an order of magnitude performance gain over the conventional equalizer.

Published in:

Sensor Array and Multichannel Signal Processing Workshop (SAM), 2010 IEEE

Date of Conference:

4-7 Oct. 2010