Recently, closed-form approximated
expressions were obtained for the residual Inter Symbol Interference (ISI)
obtained by blind adaptive equalizers for the biased as well as for the
non-biased input case in a noisy environment. But, up to now it is unclear
under what condition improved equalization performance is obtained in the
residual ISI point of view with the non-biased case compared with the biased
version. In this paper, we present for the real and two independent quadrature
carrier case a closed-form approximated expression for the difference in the residual
ISI obtained by blind adaptive equalizers with biased input signals compared
with the non-biased case. Based on this expression, we show under what
condition improved equalization performance is obtained from the residual ISI
point of view for the non-biased case compared with the biased version.
References
[1]
Pinchas, M. (2010) A New Closed Approximated Formed Expression for the Achievable Residual ISI Obtained by Adaptive Blind Equalizers for the Noisy Case. IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS), Beijing, 25-27 June 2010, 26-30. http://dx.doi.org/10.1109/WCINS.2010.5541879
[2]
Pinchas, M. (2013) Residual ISI Obtained by Blind Adaptive Equalizers and Fractional Noise. Mathematical Problems in Engineering, 2013, 1-11. http://dx.doi.org/10.1155/2013/972174
[3]
Panziel, N. and Pinchas, M. (2014) An Approximated Expression for the Residual ISI Obtained by Blind Adaptive Equalizer and Biased Input Signals. Journal of Signal and Information Processing (JSIP), 5, 155-178.
Yang, D.H., Li, G. and Zhu, Z.H. (2011) A Novel Structure for Adaptive Blind Channel Equalization. 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), Wuhan, 23-25 September 2011, 1-4. http://dx.doi.org/10.1109/wicom.2011.6039953
[6]
Feng, C. and Chi, C. (1999) Performance of Cumulant Based Inverse Filters for Blind Deconvolution. IEEE Transaction on Signal Processing, 47, 1922-1936. http://dx.doi.org/10.1109/78.771041
[7]
Wen, S.-Y. and Liu, F. (2010) A Computationally Efficient Multi-Modulus Blind Equalization Algorithm. The 2nd IEEE International Conference on Information Management and Engineering (ICIME), Chengdu, 16-18 April 2010, 685-687. http://dx.doi.org/10.1109/ICIME.2010.5478261
[8]
He, N. (2010) Application of Adaptive Equalizer in Digital Microwave Communication. International Conference on Electronics and Information Engineering (ICEIE), 2, 497-500. http://dx.doi.org/10.1109/ICEIE.2010.5559759
[9]
Sheikh, S.A. and Fan, P.Z. (2008) New Blind Equalization Techniques Based on Improved Square Contour Algorithm. Digital Signal Processing, 18, 680-693. http://dx.doi.org/10.1016/j.dsp.2007.09.001
[10]
Sato, Y. (1975) A Method of Self-Recovering Equalization for Multilevel Amplitude Modulation. IEEE Transactions on Communications, 23, 679-682. http://dx.doi.org/10.1109/TCOM.1975.1092854
[11]
Tugcu, E., Çakir, F. and Ozen, A. (2013) A New Step Size Control Technique for Blind and Non-Blind Equalization Algorithms. Radioengineering, 22, 4-51.
[12]
Liu, Z. and Ning, X.L. (2012) Comparison of Equalization Algorithms for Underwater Acoustic Channels. The 2nd International Conference on Computer Science and Network Technology, Changchun, 29-31 December 2012, 2059-2063. http://dx.doi.org/10.1109/ICCSNT.2012.6526324
[13]
Vanka, R.N., Murty, S.B. and Mouli, B.C. (2014) Performance Comparison of Supervised and Unsupervised/Blind Equalization Algorithms for QAM Transmitted Constellations. 2014 International Conference on Signal Processing and Integrated Networks (SPIN), Noida, 20-21 February 2014, 316-321. http://dx.doi.org/10.1109/SPIN.2014.6776970
[14]
Qin, Q., Li, H.H. and Jiang, T.Y. (2013) A New Study on VCMA-Based Blind Equalization for Underwater Acoustic Communications. 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC), Shenyang, 20-22 December 2013, 3526-3529.
[15]
Pinchas, M. (2010) A Closed Approximated Formed Expression for the Achievable Residual Intersymbol Interference Obtained by Blind Equalizers. Signal Processing, 90, 1940-1962. http://dx.doi.org/10.1016/j.sigpro.2009.12.014
[16]
Kupchan, S. and Pinchas, M. (2014) A Closed-Form Approximated Expression for the Residual ISI Obtained by Blind Adaptive Equalizers with Gain Equal or Less than One. Radioengineering, 23, 954.
[17]
Godard, D.N. (1980) Self Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication System. IEEE Transactions on Communications, 28, 1867-1875. http://dx.doi.org/10.1109/TCOM.1980.1094608
[18]
Shalvi, O. and Weinstein, E. (1990) New Criteria for Blind Deconvolution of Nonminimum Phase Systems (Channels). IEEE Transactions on Information Theory, 36, 312-321. http://dx.doi.org/10.1109/18.52478