Blind Identification of Transmission Channel with the method of Higher-OrderCummulants

Authors

  • Imad Badi Sultan MoulaySlimane University, BeniMellal
  • Mohammed Boutalline Sultan Moulay Slimane University Beni Mellal
  • Said Safi Sultan Moulay Slimane University Beni Mellal

DOI:

https://doi.org/10.24297/ijct.v10i2.6998

Keywords:

Transmission channel, telecommunication systems, blind identification, higher order cumulants

Abstract

The modern telecommunication systems require very high transmission rates, in this context, the problem of channels identification is a challenge major. The use of blind techniques is a great interest to have the best compromise between a suitable bit rate and quality of the information retrieved.

In this paper, we are interested to learn the algorithms for blind channel identification. We propose a hybrid method that performs a trade-off between two existing methods in order to improve the channel estimation.

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Author Biographies

Imad Badi, Sultan MoulaySlimane University, BeniMellal

Computer Sciences Department, Faculty of Sciences and Technology

Mohammed Boutalline, Sultan Moulay Slimane University Beni Mellal

Computer Sciences Department,Polydisciplinary Faculty

Said Safi, Sultan Moulay Slimane University Beni Mellal

Computer Sciences Department,Polydisciplinary Faculty

References

[1] S. Safi, “Identification aveugle des canaux à phase non minimale en utilisant les statistiques d’ordre supérieur: application aux réseaux mobiles”. Thèse d’Habilité, Cadi AyyadUniversity, Marrakesh, Morocco, 2008.
[2] S. Safi and A. Zeroual. Blind parametric identification of linear stochastic non Gaussian fir systems using higher order cumulants. International Journal of Systems Sciences Taylor Francis., 35(15) :855–867, 2004.
[3] X. D. Zhang and Y. S. Zhang. Fir system identification using higher order statistics alone. IEEE Transaction on Signal Processing, 42(12) :2854–2858, 1994.
[4] S. Safi. Identification aveugle des signaux non-Gaussiens en utilisant les statistiques d’ordre supérieur : application à la modélisation des processus solaires. Doctorat national, Université Cadi Ayyad, Marrakech, FSSM, Maroc, Mai 2002.
[5] G.B. Giannakis and A. Swami. Higher Order Statistics. Elsevier Science Publ. B.V.,1997.
[6] K. Abderrahim, R. B. Abdennour, G. Favier, M. Ksouri, and F. Msahli. New results on fir system identification using cumulants. APII-JESA., 35(5) :601–622, 2001.
[7] L. Srinivas and K. V. S. Hari. Fir system identification based on subspaces of a higher order cumulantsmartix. IEEE Transactions on Signal Processing, 44(6) :1485–1491,1996.
[8] P. O. Amblard and J. M. Brossier. Adaptive estimation of the fourth order cumulants of a white stochastic process. Signal Processing, 42(1) :37–43, 1995.
[9] S. Safi and A. Zeroual. Blind parametric identification of linear stochastic non Gaussian fir systems using higher order cumulants. International Journal of Systems Sciences Taylor Francis., 35(15) :855–867, 2004.
[10] X. D. Zhang and Y. S. Zhang. Fir system identification using higher order statistics alone. IEEE Transaction on Signal Processing, 42(12) :2854–2858, 1994.
[11] S.Safi, M.Frikel, A.Zeroual, and M.M’Saad,“Higher Order Cumulants for Identification and Equalization of Multicarrier Spreading Spectrum Systems” JOURNAL OF TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY: pp 74-84, 2011.

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Published

2013-08-05

How to Cite

Badi, I., Boutalline, M., & Safi, S. (2013). Blind Identification of Transmission Channel with the method of Higher-OrderCummulants. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 10(2), 1294–1301. https://doi.org/10.24297/ijct.v10i2.6998

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Section

Research Articles