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

Jun Won Choi, Thomas Riedl, Erica L. Daly, Kyeongyeon Kim, Andrew C. Singer, James C. Preisig

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 (DATEQ). 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 DATEQ 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.

Original languageEnglish (US)
Title of host publication2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010
Pages77-80
Number of pages4
DOIs
StatePublished - Dec 20 2010
Event2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010 - Jerusalem, Israel
Duration: Oct 4 2010Oct 7 2010

Publication series

Name2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010

Other

Other2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010
CountryIsrael
CityJerusalem
Period10/4/1010/7/10

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Adaptive linear turbo equalization of large delay spread time-varying channel responses'. Together they form a unique fingerprint.

Cite this