LMMSE based turbo equalization for nonlinear memory channel

Zheren Long, Hua Wang*, Nan Wu, Wei Song, Dewei Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Wideband satellite communication channel can be considered as nonlinear memory channel, which can be described by Volterra model. To counter both nonlinear and memory effects, linear minimum mean square error (LMMSE) based turbo equalizer is proposed in this paper. Although LMMSE is a kind of affine transform, the nonlinear memory interference is cancelled by taking the coefficients of nonlinear memory part into consideration. According to turbo method, the a priori probability of decision symbol is not taken into consideration in both linear part and nonlinear part. Meanwhile, full information rather than extrinsic information from the decoder is used to upgrade the performance. Simulation results demonstrate that the proposed LMMSE based equalizer has better performance than the original linear and traditional nonlinear equalizer.

Original languageEnglish
Title of host publication2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509028603
DOIs
Publication statusPublished - 21 Nov 2016
Event8th International Conference on Wireless Communications and Signal Processing, WCSP 2016 - Yangzhou, China
Duration: 13 Oct 201615 Oct 2016

Publication series

Name2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016

Conference

Conference8th International Conference on Wireless Communications and Signal Processing, WCSP 2016
Country/TerritoryChina
CityYangzhou
Period13/10/1615/10/16

Keywords

  • MSE
  • Volterra channel
  • satellite communication
  • turbo equalization

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