Blind MMSE Equalizer Based on Linear Prediction

Zhang Zi-jing; Liu Zheng; Zhang Lin-rang

Volume 26 Issue 5

May 2004

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Article Navigation > Journal of Electronics & Information Technology > 2004 > 26(5): 783-788

Zhang Zi-jing, Liu Zheng, Zhang Lin-rang. Blind MMSE Equalizer Based on Linear Prediction[J]. Journal of Electronics & Information Technology, 2004, 26(5): 783-788.

Citation:

Zhang Zi-jing, Liu Zheng, Zhang Lin-rang. Blind MMSE Equalizer Based on Linear Prediction[J]. Journal of Electronics & Information Technology, 2004, 26(5): 783-788.

Zhang Zi-jing, Liu Zheng, Zhang Lin-rang. Blind MMSE Equalizer Based on Linear Prediction[J]. Journal of Electronics & Information Technology, 2004, 26(5): 783-788.

Citation:

Zhang Zi-jing, Liu Zheng, Zhang Lin-rang. Blind MMSE Equalizer Based on Linear Prediction[J]. Journal of Electronics & Information Technology, 2004, 26(5): 783-788.

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Blind MMSE Equalizer Based on Linear Prediction

Received Date: 2002-12-08
Rev Recd Date: 2003-05-14
Publish Date: 2004-05-19

Abstract

Abstract

Blind fractionally spaced equalizers can reduce intersymbol interference using only second-order statistics. A blind MMSE equalizer based on linear prediction is presented in this paper. It can directly equalize the channel from the fractionally sampled observations without performing channel identification. In addition, it can be implemented efficiently using the RLS algorithm. Simulation results show that the blind MMSE equalizer has smaller mean-square error of symbol estimation than the corresponding zero-forcing equalizer.

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References(1)

References

Porat B, Friedlander B. Blind equalization of digital communication channels using high-order moments. IEEE Trans. on SP, 1991, SP-39(2): 522-526.[2]Hatzinakos D, Nikias C L. Blind equalization using a tricepstrum based algorithm. IEEE Trans.on Communications, 1991, COM-39(5): 669-682.[3]Giannakis G B, Halford S D. Blind fractionally spaced equalization of noisy FIR channels: direct and adaptive solutions. IEEE Trans. on SP, 1997, SP-45(9): 2277-2292.[4]Li X, Fan H. Linear prediction methods for blind fractionally spaced equalization. IEEE Trans.on SP, 2000, SP-48(6): 1667-1675.[5]Vaidyanathan P P. Multirate digital filters, filter banks, polyphase networks, and application: a tutorial[J].Proc. IEEE.1990, 78(1):56-93[6]Moulines E, Duhamel P, Cardoso J, Mayrargue S. Subspace methods for the blind identification of multichannel FIR filters. IEEE Trans. on SP, 1995, SP-43(2): 516-525.

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