A hybrid MBER-IMSC based blind equalisation scheme in amplify and forward relay protocol in Rayleigh fading environments

In this paper, we propose a blind probabilistic equalisation scheme for amplify and forward relay protocol in Rayleigh faded wireless communication systems. In the proposed approach the adaptation cost function is a combination of MBER and IMSC cost functions. In this paper, we derive an unsupervised hybrid minimum bit error rate (MBER) based approach for blind channel equalisation for arbitrary constellations. To the best of author's knowledge, the assumption of the faded probability density function (pdf) has never been incorporated in the MBER cost function for blind equalisation over a fading cooperative-relay environment. A proof of sufficiency of the proposed scheme for minimisation of the MBER cost function is also provided in this paper.

[1]  Lin He,et al.  A hybrid adaptive blind equalization algorithm for QAM signals in wireless communications , 2004, IEEE Transactions on Signal Processing.

[2]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[3]  P. Comon,et al.  Blind and semi-blind equalization based on the constant power criterion , 2005, IEEE Transactions on Signal Processing.

[4]  Jinho Choi.  Equalization and semi-blind channel estimation for space-time block coded signals over a frequency-selective fading channel , 2004, IEEE Transactions on Signal Processing.

[5]  P. R. Sahu,et al.  Symbol Error Rate of Rectangular QAM with Best-Relay Selection in Cooperative Systems over Rayleigh Fading Channels , 2012, IEEE Communications Letters.

[6]  Wessam Ajib,et al.  Performance Analysis of Amplify-and-Forward Cooperative Networks with Relay Selection over Rayleigh Fading Channels , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[7]  Salama Ikki,et al.  Exact Error Probability and Channel Capacity of the Best-Relay Cooperative-Diversity Networks , 2009, IEEE Signal Processing Letters.

[8]  Rangeet Mitra,et al.  Improved multi-stage clustering-based blind equalisation , 2011, IET Commun..

[9]  A. Mahmood,et al.  Cooperative Diversity in Wireless Networks , 2010 .

[10]  Vimal Bhatia,et al.  Blind MBER based selection diversity combining in amplify and forward relay protocol in Rayleigh fading environments , 2015, 2015 International Conference on Signal Processing and Communication (ICSC).

[11]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[12]  Vimal Bhatia,et al.  Performance Analysis of Amplify-and-Forward Cooperative Networks with Best-Relay Selection Over Weibull Fading Channels , 2015, Wirel. Pers. Commun..

[13]  TseD. N.C.,et al.  Cooperative diversity in wireless networks , 2004 .

[14]  Sheng Chen,et al.  Multi-stage blind clustering equaliser , 1995, IEEE Trans. Commun..

[15]  Murat Uysal,et al.  Fractionally spaced equalization for broadband amplify-and-forward cooperative systems , 2013, 2013 IEEE International Symposium on Information Theory.

[16]  William H. Tranter,et al.  Principles of Communication Systems Simulation with Wireless Applications , 2004 .