An Optimization Algorithm for Blind Channel Equalizer Using Signal Estimation Reliability 


Vol. 38,  No. 4, pp. 318-324, Apr.  2013


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  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.

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  Cite this article

[IEEE Style]

K. N. Oh, "An Optimization Algorithm for Blind Channel Equalizer Using Signal Estimation Reliability," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 4, pp. 318-324, 2013. DOI: .

[ACM Style]

Kil Nam Oh. 2013. An Optimization Algorithm for Blind Channel Equalizer Using Signal Estimation Reliability. The Journal of Korean Institute of Communications and Information Sciences, 38, 4, (2013), 318-324. DOI: .

[KICS Style]

Kil Nam Oh, "An Optimization Algorithm for Blind Channel Equalizer Using Signal Estimation Reliability," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 4, pp. 318-324, 4. 2013.