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Linear channel estimation and training for frequency-selective fading channels in two-way relay networks

  • Jin Soo Wang
  • , Minh Tam Tran
  • , Dong Ryul Shin
  • , Yun Hee Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The linear minimum mean square error (LMMSE) estimation of frequency selective fading channels is addressed in two-way relay networks. We estimate the channel responses required for self-interference cancelation and coherent detection in the time domain. The optimal training condition for the minimization of the mean square error (MSE) of the LMMSE estimator is derived and, taking into account the peak-to-average power ratio, new training sequences satisfying the optimal training condition are proposed. It is shown that the LMMSE estimator significantly outperforms the least square (LS) estimator in the low SNR regime and that the LMMSE estimator is less sensitive to the training sequences than the LS estimator.

Original languageEnglish
Title of host publicationIWSDA 2013 - 6th International Workshop on Signal Design and Its Applications in Communications
PublisherIEEE Computer Society
Pages178-181
Number of pages4
ISBN (Print)9781467364812
DOIs
Publication statusPublished - 2013
Event6th International Workshop on Signal Design and Its Applications in Communications, IWSDA 2013 - Tokyo, Japan
Duration: 27 Oct 2013 → 1 Nov 2013

Publication series

NameIWSDA 2013 - 6th International Workshop on Signal Design and Its Applications in Communications

Conference

Conference6th International Workshop on Signal Design and Its Applications in Communications, IWSDA 2013
Country/TerritoryJapan
CityTokyo
Period27/10/13 → 1/11/13

Keywords

  • Channel estimation
  • LMMSE
  • frequency selective fading
  • optimal training sequences
  • two-way relay

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