Skip to main content

Frequency Estimation in Iterative Interference Cancellation Applied to Multibeam Satellite Systems


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.



  1. Millerioux JP, Boucheret ML, Bazile C, Ducasse A: Iterative interference cancellation and channel estimation in multibeam satellite systems. International Journal of Satellite Communications and Networking 2007,25(3):263-283. 10.1002/sat.875

    Article  Google Scholar 

  2. Digital Video Broadcasting (DVB) : Interaction channel for satellite distribution systems. 2000.

    Google Scholar 

  3. Moher ML: Multiuser decoding for multibeam systems. IEEE Transactions on Vehicular Technology 2000,49(4):1226-1234. 10.1109/25.875232

    Article  Google Scholar 

  4. Caire G, Debbah M, Cottatellucci L, et al.: Perspectives of adopting interference mitigation techniques in the context of broadband multimedia satellite systems. Proceedings of the 23rd AIAA International Communications Satellite Systems Conference (ICSSC '05), September 2005, Rome, Italy 25-28.

    Google Scholar 

  5. Debbah M, Gallinaro G, Müller R, Rinaldo R, Vernucci A: Interference mitigation for the reverse-link of interactive satellite networks. Proceedings of the 9th International Workshop on Signal Processing for Space Communications (SPSC '06), September 2006, Noordwijk, The Netherlands

    Google Scholar 

  6. Lutz E, Werner M, Jahn A: Satellite Systems for Personal and Broadband Communications. Springer, New York, NY, USA; 2000.

    Book  MATH  Google Scholar 

  7. Millerioux JP: "Techniques de détection multi-utilisateurs pour les communications multifaisceaux par satellite", Ph.D. dissertation, ENST, Paris, France, September 2006.

    Google Scholar 

  8. Godara LC: Application of antenna arrays to mobile communications—part II: beam-forming and direction-of-arrival considerations. Proceedings of the IEEE 1997,85(8):1195-1245. 10.1109/5.622504

    Article  Google Scholar 

  9. D'Andrea AN, Mengali U, Reggiannini R: The modified Cramer-Rao bound and its application to synchronization problems. IEEE Transactions on Communications 1994,42(234):1391-1399.

    Article  Google Scholar 

  10. Adriaensen F, Steinert W, Van Doninck A: MF-TDMA burst demodulator design with pilot symbol assisted frequency estimation. Proceedings of the 8th ESA International Workshop on Signal Processing for Space Communications (SPSC '03), September 2003, Catania, Italy

    Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to J. P. Millerioux.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Millerioux, J.P., Boucheret, M.L., Bazile, C. et al. Frequency Estimation in Iterative Interference Cancellation Applied to Multibeam Satellite Systems. J Wireless Com Network 2007, 062310 (2007).

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI:


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