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A Novel Quantize-and-Forward Cooperative System: Channel Estimation and M-PSK Detection Performance

  • Iancu Avram
  • Nico Aerts
  • Dieter Duyck
  • Marc Moeneclaey
Open Access
Research Article
Part of the following topical collections:
  1. Signal Processing-Assisted Protocols and Algorithms for Cooperating Objects and Wireless Sensor Networks

Abstract

A method to improve the reliability of data transmission between two terminals without using multiple antennas is cooperative communication, where spatial diversity is introduced by the presence of a relay terminal. The Quantize and Forward (QF) protocol is suitable to implement in resource constraint relays, because of its low complexity. In prior studies of the QF protocol, all channel parameters are assumed to be perfectly known at the destination, while in reality these need to be estimated. This paper proposes a novel quantization scheme, in which the relay compensates for the rotation caused by the source-relay channel, before quantizing the phase of the received M-PSK data symbols. In doing so, channel estimation at the destination is greatly simplified, without significantly increasing the complexity of the relay terminals. Further, the destination applies the expectation maximization (EM) algorithm to improve the estimates of the source-destination and relay-destination channels. The resulting performance is shown to be close to that of a system with known channel parameters.

Keywords

Information System Spatial Diversity Data Transmission System Application Channel Estimation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Iancu Avram et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors and Affiliations

  • Iancu Avram
    • 1
  • Nico Aerts
    • 1
  • Dieter Duyck
    • 1
  • Marc Moeneclaey
    • 1
  1. 1.Department of Telecommunications and Information Processing, Faculty of EngineeringGhent UniversityGentBelgium

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