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  • Research Article
  • Open Access

Optimization of Linear Precoded OFDM for High-Data-Rate UWB Systems

  • Antoine Stephan1Email author,
  • Emeric Guéguen1,
  • Matthieu Crussière1,
  • Jean-Yves Baudais1 and
  • Jean-François Hélard1
EURASIP Journal on Wireless Communications and Networking20072008:317257

Received: 15 May 2007

Accepted: 6 November 2007

Published: 20 November 2007


We investigate the use of a linear precoded orthogonal frequency division multiplexing (LP-OFDM) waveform for high-data-rate ultra-wideband (UWB) systems. This waveform applied for the first time to UWB applications is an evolution of the multiband OFDM (MB-OFDM) solution supported by WiMedia-MBOA (MultiBand OFDM Alliance). The aim of this paper is twofold. Firstly, an analytical study of the LP-OFDM waveform allows to find how to efficiently precode an OFDM signal in order to improve the robustness of the system. Secondly, a global system study is led to highlight the benefits of adding a precoding function to an OFDM signal in the UWB context. Different system choices and parameterization strategies are thus proposed. In both analytical and global system studies, the LP component is optimized without channel state information (CSI) at the transmitter side, as in the MBOA solution. To go further, the MBOA constraints are relaxed, and an additional optimization is performed, with a CSI at the transmitter. The analytical and simulation results show that the joint use of linear precoding and OFDM leads to a significant performance increase compared to the MBOA solution. This improvement is due to the precoding scheme that provides better exploitation of the channel diversity.


Orthogonal Frequency Division MultiplexChannel State InformationFrequency DivisionParameterization StrategyFull Article

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Authors’ Affiliations

Institute of Electronics and Telecommunications of Rennes (IETR), INSA, Rennes, France


© Antoine Stephan et al. 2008

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.