Blind Identification of Transmission Channel with the method of Higher-OrderCummulants
DOI:
https://doi.org/10.24297/ijct.v10i2.6998Keywords:
Transmission channel, telecommunication systems, blind identification, higher order cumulantsAbstract
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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References
[1] S. Safi, “Identification aveugle des canaux à phase non minimale en utilisant les statistiques d’ordre supérieur: application aux réseaux mobilesâ€. 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.
[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
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Section
Research Articles
How to Cite
Blind Identification of Transmission Channel with the method of Higher-OrderCummulants. (2013). INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 10(2), 1294-1301. https://doi.org/10.24297/ijct.v10i2.6998
