Browse > Article
http://dx.doi.org/10.7840/kics.2013.38A.4.318

An Optimization Algorithm for Blind Channel Equalizer Using Signal Estimation Reliability  

Oh, Kil Nam (광주대학교 광통신공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.38A, no.4, 2013 , pp. 318-324 More about this Journal
Abstract
For blind channel equalization, the reliability of signal estimate determines the convergence speed and steady-state performance of the equalizer. Therefore the nonlinear estimator and reference signal being used in signal estimate should be chosen appropriately. In this paper, to increase the reliability of the signal estimate, two errors were obtained by applying coarse signal points and dense signal points respectively to signal estimate, the relative reliabilities of two errors were calculated, then the equalizer was adapted deferentially utilizing the reliabilities. At this point, by applying two errors alternately, two modes of operation were smoothly combined. Through computer simulations the proposed method was confirmed to achieve fast transient state convergence and low steady-state error compared to traditional methods.
Keywords
Signal estimate; Coarse signal points; Dense signal points; Nonlinear estimator;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Y. Sato, "A method of self-recovering equalization for multilevel amplitude modulation systems," IEEE Trans. Commun., vol. 23, no. 6, pp. 679-682, June 1975.   DOI
2 J. R. Treichler and B. G. Agee, "A new approach to multipath correction of constant modulus signals," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-31, no. 2, pp. 459-472, Apr. 1983.
3 S. Fiori, "Analysis of modified "Bussgang" algorithms (MBAs) for channel equalization," IEEE Trans. Circuits Syst. I, vol. 51 no. 8, pp. 1552-1560, Aug. 2004.
4 D.N. Godard and P.E. Thirion, "Method device for training an adaptive equalizer by means of an unknown data signal in a QAM transmission system," U.S. Patent 4 227 152, Oct. 7, 1980.
5 J. G. Proakis and M. Salehi, Digital Communications, 5th Ed., McGraw-Hill, 2008.
6 O. Macchi and E. Eweda, "Convergence analysis of self-adaptive equalizers," IEEE Trans. Inform. Theory, vol. IT-30, no. 2, pp. 161-176, Mar. 1984.
7 C. A. R. Fernandes, G. Favier, and J. C. M. Mota, "Decision directed adaptive blind equalization based on the constant modulus algorithm," Signal, Image Video Process. (SIViP), vol. 1, no. 4, pp. 333-346, July 2007.   DOI   ScienceOn
8 X.-W. Zhang and W. Rao, "New concurrent blind equalization algorithm suitable for high-order QAM signals," 5th Int. Conf. FSKD '08, vol. 2, pp. 177-181, Shandong, China, Oct. 2008.
9 W. Rao, W. Tan, Y. Li, and H. Gao, "New modified constant modulus algorithm for underwater acoustic communications," ICICIS '11, pp. 563-566, Hong Kong, Sep. 2011.