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  • Research Article
  • Open Access

Frequency Estimation in Iterative Interference Cancellation Applied to Multibeam Satellite Systems

EURASIP Journal on Wireless Communications and Networking20072007:062310

  • Received: 31 August 2006
  • Accepted: 13 May 2007
  • Published:


This paper deals with interference cancellation techniques to mitigate cochannel interference on the reverse link of multibeam satellite communication systems. The considered system takes as a starting point the DVB-RCS standard with the use of convolutional coding. The considered algorithm consists of an iterative parallel interference cancellation scheme which includes estimation of beamforming coefficients. This algorithm is first derived in the case of a symbol asynchronous channel with time-invariant carrier phases. The aim of this article is then to study possible extensions of this algorithm to the case of frequency offsets affecting user terminals. The two main approaches evaluated and discussed here are based on (1) the use of block processing for estimation of beamforming coefficients in order to follow carrier phase variations and (2) the use of single-user frequency offset estimations.


  • Carrier Phase
  • Interference Cancellation
  • Convolutional Code
  • Frequency Offset
  • Parallel Interference Cancellation


Authors’ Affiliations

TéSA, 14-16 Port Saint-Etienne, Toulouse, 31000, France
Institut de Recherche en Informatique de Toulouse, Ecole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Informatique, d'Hydraulique et des Télécommunications, 2 Rue Camichel, BP 7122, Toulouse, 31071, France
Centre National d'Etudes Spatiales, 18 Avenue E. Belin, Toulouse Cedex 4, 31401, France
Ecole Nationale Supérieure des Télécommunications, 46 Rue Barrault, Paris Cedex 13, 75634, France
Alcatel Alenia Space, 26 Avenue J.F. Champollion, BP 1187, Toulouse, 31037, France


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© J. P. Millerioux et al. 2007

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.