Abstract
The Constant Modulus Algorithm (CMA), while the most commonly used blind equalization technique, converges very slowly. The convergence rate of the CMA is quite sensitive to the adjustment of the step size parameter used in the update equation as in the Least Mean Squares (LMS) algorithm. A novel approach in adjusting the step size of the CMA using the fuzzy logic based outer loop controller is presented in this paper. It also presents a computational study and simulation results of this newly proposed algorithm compared to other variable step size CMA such as conventional CMA, Normalized CMA (N-CMA) [1], Modified CMA (M-CMA) [2], CMA-Soft Decision Directed (CMA-SDD) [3]. The simulation results have demonstrated that the proposed algorithm has considerably better performance than others.
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References
Jones, D.L.: A Normalized Constant Modulus Algorithm. In: IEEE Conference Record of the Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 694–697 (1996)
Chahed, I., et al.: Blind Decision Feedback Equalizer Based on High Order MCMA. In: Canadian Conf. on Electrical and Computer Engineering, vol. 4, pp. 2111–2114 (2004)
Chen, S., et al.: Low Complexity Concurrent Constant Modulus Algorithm and Soft Decision Directed Scheme for Blind Equalization. IEEE Proc. Visual Image Signal Proces. 150, 312–320 (2003)
Godard, D.N.: Self Recovering Equalization and Carrier Tracking in Two Dimensional Data Communication Systems. IEEE Trans. Comm. 28(11), 1867–1875 (1980)
Treichler, J.R., Agee, B.G.: A new approach to multipath correction of constant modulus signals. IEEE Trans. Acoust. Speech, Signal Process. ASSP-28, 459–472 (1983)
Schirtzinger, T., et al.: A Comparison of Three Algorithms for Blind Equalization Based on the Constant Modulus Error Criterion. In: Proc. IEEE ICASSP, pp. 1049–1052 (1985)
Weerackody, V., Kassam, S.A.: Variable Step Size Blind Adaptive Equalization Algorithms. In: IEEE International Symposium on Circuits and Systems, pp. 718–721 (1991)
Castro, D.F.C.C., et al.: Concurrent Blind Deconvolution for Channel Equalization. In: Proc. ICC, vol. II, pp. 366–371 (2001)
Zadeh, L.A.: Fuzzy Sets. Information and Con. 8, 338–353 (1965)
Özen, A.: A Fuzzy Based Outer Loop Controller Design Improving the Performance and Convergence Speed in High Data Rate Digital Communication Receivers. Ph.D. Thesis, Graduate School of Natural and Applied Science, KTU, Trabzon (2005)
Özen, A., Kaya, I., Soysal, B.: Design of a Fuzzy Based Outer Loop Controller for Improving the Training Performance of LMS Algorithm. In: Huang, D.-S., Heutte, L., Loog, M. (eds.) ICIC 2007. LNCS (LNAI), vol. 4682, pp. 1051–1063. Springer, Heidelberg (2007)
Eminoğlu, İ., Altaş, İ.H.: A Method to Form Fuzzy Logic Control Rules for a PMDC Motor Drive System. Elsevier Electric Power System Research 39, 81–87 (1996)
Özen, A., et al.: A Fuzzy-based Outer Loop Controller for LMS Algorithm and Its Application to Channel Estimation and Carrier Tracking for OFDM. In: MOMUC 2003 8th International Workshop on Mobile Multimedia Communications, pp. 79–86 (2003)
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Özen, A., Güner, A., Çakır, O., Tuğcu, E., Soysal, B., Kaya, I. (2008). A Novel Approach for Blind Channel Equalization. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_43
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DOI: https://doi.org/10.1007/978-3-540-85984-0_43
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