Blind direct DFE estimation using multistep prediction

Hwasun Yoo; Sunghwan Ong; Daesik Hong

doi:10.1109/LSP.2003.814402

Blind direct DFE estimation using multistep prediction

Hwasun Yoo, Sunghwan Ong, Daesik Hong

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Letter › peer-review

Abstract

In this letter, we propose a blind decision feedback equalizer (DFE) that is characterized by the fact that it does not require channel estimation. Because the output of the optimized multistep prediction error filter (PEF) can be represented as a product of the channel partial impulse response and the transmitted sequence, a backward multistep PEF can be used as the blind DFE feedforward filter. The corresponding feedback filter is obtained from the symbol-rate partial channel impulse response. The proposed algorithm has several advantages over existing blind channel estimation techniques, including stable performance without the necessity of exact channel order estimation.

Original language	English
Pages (from-to)	253-255
Number of pages	3
Journal	IEEE Signal Processing Letters
Volume	10
Issue number	9
DOIs	https://doi.org/10.1109/LSP.2003.814402
Publication status	Published - 2003 Sept

Bibliographical note

Funding Information:
Manuscript received June, 3, 2002; revised October 23, 2002. This work was supported in part by the Korea Science and Engineering Foundation, as well as by the Brain Korea 21 Project. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Visa Koivunen.

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/LSP.2003.814402

Cite this

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author = "Hwasun Yoo and Sunghwan Ong and Daesik Hong",

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AU - Yoo, Hwasun

AU - Ong, Sunghwan

AU - Hong, Daesik

N1 - Funding Information: Manuscript received June, 3, 2002; revised October 23, 2002. This work was supported in part by the Korea Science and Engineering Foundation, as well as by the Brain Korea 21 Project. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Visa Koivunen.

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N2 - In this letter, we propose a blind decision feedback equalizer (DFE) that is characterized by the fact that it does not require channel estimation. Because the output of the optimized multistep prediction error filter (PEF) can be represented as a product of the channel partial impulse response and the transmitted sequence, a backward multistep PEF can be used as the blind DFE feedforward filter. The corresponding feedback filter is obtained from the symbol-rate partial channel impulse response. The proposed algorithm has several advantages over existing blind channel estimation techniques, including stable performance without the necessity of exact channel order estimation.

AB - In this letter, we propose a blind decision feedback equalizer (DFE) that is characterized by the fact that it does not require channel estimation. Because the output of the optimized multistep prediction error filter (PEF) can be represented as a product of the channel partial impulse response and the transmitted sequence, a backward multistep PEF can be used as the blind DFE feedforward filter. The corresponding feedback filter is obtained from the symbol-rate partial channel impulse response. The proposed algorithm has several advantages over existing blind channel estimation techniques, including stable performance without the necessity of exact channel order estimation.

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ER -

Blind direct DFE estimation using multistep prediction

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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