Iterative compressive estimation and decoding for network-channel-coded two-way relay sparse ISI channels

Sinh Le Hong Nguyen, Ali Ghrayeb, Mazen Hasna

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

We propose an iterative compressive channel estimation and decoding scheme for network-channel-coded two-way relay sparse intersymbol interference channels. The underlying system model comprises two source nodes and one relay node. In the first time slot, the two sources simultaneously transmit their independent training pilots along with the channel-coded data. In the second time slot, the relay applies analog network coding to the sum of the received signals and broadcasts the result to the two sources. Each source then uses iterative compressive sensing (CS) based estimation and decoding to estimate the composite channels and recover the transmitted signal. We analyze the performance of our proposed CS-based scheme and demonstrate its efficacy over existing ones.

Original languageEnglish
Article number6355000
Pages (from-to)1992-1995
Number of pages4
JournalIEEE Communications Letters
Volume16
Issue number12
DOIs
Publication statusPublished - 2012
Externally publishedYes

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Keywords

  • Compressive sensing
  • iterative decoding
  • sparse ISI channels
  • two-way relay channels

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Modelling and Simulation

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