An Iterative Method for Blind Equalization of Multiple FIR Channels

Fang-Biau UENG

doi:10.1093/ietcom/e88-b.4.1602

An Iterative Method for Blind Equalization of Multiple FIR Channels

Fang-Biau UENG

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This paper proposes a direct blind equalization algorithm based on the multiple-shift correlation (MSC) property of the received data. Employing adaptive beamforming technique, we develope a partially adaptive channel equalizer (PACE) which allows the number of the adaptive weights to be less than the number of all the channel parameters. The PACE is with fast convergence speed and low implementation complexity. This paper also analyzes the effect of mismatch of channel order estimation due to small head and tail of the channel impulse response. From the analysis, we show the performance degradation is a function of the optimal output signal-to-interference plus noise ratio (SINR), the optimal output power and the control vector. We also propose a simple iterative method to reudce the performance degradation. Analysis of this proposed iterative method is also performed. Some simulation examples are demonstrated to show the effectiveness of the proposed blind channel equalizer and the performance analysis.

Publication: IEICE TRANSACTIONS on Communications Vol.E88-B No.4 pp.1602-1612

Publication Date: 2005/04/01

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DOI: 10.1093/ietcom/e88-b.4.1602

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

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Fang-Biau UENG, "An Iterative Method for Blind Equalization of Multiple FIR Channels" in IEICE TRANSACTIONS on Communications, vol. E88-B, no. 4, pp. 1602-1612, April 2005, doi: 10.1093/ietcom/e88-b.4.1602.
Abstract: This paper proposes a direct blind equalization algorithm based on the multiple-shift correlation (MSC) property of the received data. Employing adaptive beamforming technique, we develope a partially adaptive channel equalizer (PACE) which allows the number of the adaptive weights to be less than the number of all the channel parameters. The PACE is with fast convergence speed and low implementation complexity. This paper also analyzes the effect of mismatch of channel order estimation due to small head and tail of the channel impulse response. From the analysis, we show the performance degradation is a function of the optimal output signal-to-interference plus noise ratio (SINR), the optimal output power and the control vector. We also propose a simple iterative method to reudce the performance degradation. Analysis of this proposed iterative method is also performed. Some simulation examples are demonstrated to show the effectiveness of the proposed blind channel equalizer and the performance analysis.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.4.1602/_p

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@ARTICLE{e88-b_4_1602,
author={Fang-Biau UENG, },
journal={IEICE TRANSACTIONS on Communications},
title={An Iterative Method for Blind Equalization of Multiple FIR Channels},
year={2005},
volume={E88-B},
number={4},
pages={1602-1612},
abstract={This paper proposes a direct blind equalization algorithm based on the multiple-shift correlation (MSC) property of the received data. Employing adaptive beamforming technique, we develope a partially adaptive channel equalizer (PACE) which allows the number of the adaptive weights to be less than the number of all the channel parameters. The PACE is with fast convergence speed and low implementation complexity. This paper also analyzes the effect of mismatch of channel order estimation due to small head and tail of the channel impulse response. From the analysis, we show the performance degradation is a function of the optimal output signal-to-interference plus noise ratio (SINR), the optimal output power and the control vector. We also propose a simple iterative method to reudce the performance degradation. Analysis of this proposed iterative method is also performed. Some simulation examples are demonstrated to show the effectiveness of the proposed blind channel equalizer and the performance analysis.},
keywords={},
doi={10.1093/ietcom/e88-b.4.1602},
ISSN={},
month={April},}

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TY - JOUR
TI - An Iterative Method for Blind Equalization of Multiple FIR Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 1602
EP - 1612
AU - Fang-Biau UENG
PY - 2005
DO - 10.1093/ietcom/e88-b.4.1602
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2005
AB - This paper proposes a direct blind equalization algorithm based on the multiple-shift correlation (MSC) property of the received data. Employing adaptive beamforming technique, we develope a partially adaptive channel equalizer (PACE) which allows the number of the adaptive weights to be less than the number of all the channel parameters. The PACE is with fast convergence speed and low implementation complexity. This paper also analyzes the effect of mismatch of channel order estimation due to small head and tail of the channel impulse response. From the analysis, we show the performance degradation is a function of the optimal output signal-to-interference plus noise ratio (SINR), the optimal output power and the control vector. We also propose a simple iterative method to reudce the performance degradation. Analysis of this proposed iterative method is also performed. Some simulation examples are demonstrated to show the effectiveness of the proposed blind channel equalizer and the performance analysis.
ER -