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http://dx.doi.org/10.5762/KAIS.2016.17.1.15

Convergence Property Analysis of Multiple Modulus Self-Recovering Equalization According to Error Dynamics Boosting  

Oh, Kil Nam (Dept. of Optical Communications Engineering, Gwangju University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.1, 2016 , pp. 15-20 More about this Journal
Abstract
The existing multiple modulus-based self-recovering equalization type has not been applied to initial equalization. Instead, it was used for steady-state performance improvement. In this paper, for the self-recovering equalization type that considers the multiple modulus as a desired response, the initial convergence performance was improved by extending the dynamics of the errors using error boosting and their characteristics were analyzed. Error boosting in the proposed method was carried out in proportion to a symbol decision for the equalizer output. Furthermore, having the initial convergence capability by extending the dynamics of errors, it showed excellent performance in the initial convergence rate and steady-state error level. In particular, the proposed method can be applied to the entire process of equalization through a single algorithm; the existing methods of switching over or the selection of other operation modes, such as concurrent operating with other algorithms, are not necessary. The usefulness of the proposed method was verified by simulations performed under the channel conditions with multipath propagation and additional noise, and for performance analysis of self-recovering equalization for high-order signal constellations.
Keywords
Bussgang equalization; Nonlinear estimator; Desired response; Error boosting;
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1 M. Pinchas, The whole story behind blind adaptive equalizers/blind deconvolution, Bentham Science Publishers, 2012. DOI: http://dx.doi.org/10.2174/97816080535201120101   DOI
2 Y. Sato, "A method of self-recovering equalization for multilevel amplitude-modulation systems," IEEE Trans. Commun., vol. 23, no. 6, pp. 679-682, Jun. 1975. DOI: http://dx.doi.org/10.1109/TCOM.1975.1092854   DOI
3 S. Abrar, "A family of reduced-constellation algorithms for blind equalization of square-QAM Signals," ICM 2005, pp. 296-300, Dec. 2005.
4 A. Benveniste and M. Goursat, "Blind equalizers," IEEE Trans. Commun., vol. 32, no. 8, pp. 871-883, Aug. 1984. DOI: http://dx.doi.org/10.1109/TCOM.1984.1096163   DOI
5 D.N. Godard, "Self-recovering equalization and carrier tracking in two-dimensional data communication systems," IEEE Trans. Commun., vol. 28, no. 11, pp. 1867-1875, Nov. 1980. DOI: http://dx.doi.org/10.1109/TCOM.1980.1094608   DOI
6 J.R. Treichler and B.G. Agee, "A new approach to multipath correction of constant modulus signals," IEEE Trans. Acoust., Speech, Signal Processing, vol. 31, no. 2, pp. 459-472, Apr. 1983. DOI: http://dx.doi.org/10.1109/TASSP.1983.1164062   DOI
7 D. Ashmawy, K. Banovic, E. Abdel-Raheem, M. Youssif, H. Mansour, and M. Mohanna, "Joint MCMA and DD blind equalization algorithm with variable-step size," Proc. IEEE Int. Conf. Electro/Information Technology, pp. 174-177, Jun. 2009. DOI: http://dx.doi.org/10.1109/eit.2009.5189605   DOI
8 J.M. Filho, M.T.M. Silva, and M.D. Miranda, "A family of algorithms for blind equalization of QAM signals," Proc. IEEE ICASSP, pp. 3388-3391, May 2011. DOI: http://dx.doi.org/10.1109/icassp.2011.5947112   DOI
9 M. J. Ready and R. P. Gooch, "Blind equalization based on radius directed adaptation," Proc. IEEE ICASSP, pp. 1699-1702, Apr. 1990. DOI: http://dx.doi.org/10.1109/icassp.1990.115806   DOI
10 C.A.R. Fernandes, G. Favier, and J.C.M. Mota, "Decision directed adaptive blind equalization based on the constant modulus algorithm," Signal, Image and Video Processing, vol. 1, no. 4, pp. 333-346, Oct. 2007. DOI: http://dx.doi.org/10.1007/s11760-007-0027-2   DOI
11 J. Yang, J.-J. Werner, and G. A. Dumont, "The multimodulus blind equalization and its generalized algorithms," IEEE J. Sel. Areas Commun., vol. 20, no. 6, pp. 997-1015, Jun. 2002. DOI: http://dx.doi.org/10.1109/JSAC.2002.1007381   DOI
12 A.W. Azim, S. Abrar, A. Zerguine, and A.K. Nandi, "Steady-state performance of multimodulus blind equalizers," Signal Processing, vol. 108, pp. 509-520, Mar. 2015. DOI: http://dx.doi.org/10.1016/j.sigpro.2014.10.020   DOI
13 E. Biglieri, J. Proakis, and S. Shamai, "Fading channels: information-theoretic and communications aspects," IEEE Trans. Inform. Theory, vol. 44, no. 6, pp. 2619-2692, Oct. 1998. DOI: http://dx.doi.org/10.1109/18.720551   DOI
14 S. Chen, T.B. Cook, and L.C. Anderson, "A comparative study of two blind FIR equalizers," Digital Signal Processing, vol. 14, no. 1, pp. 18-36, Jan. 2004. DOI: http://dx.doi.org/10.1016/j.dsp.2003.04.001   DOI