Design of Implementation-Efficient Channel Estimation Filters for Wireless Transmission of OFDM Signal

Jae-Ho RYU; Yong-Hwan LEE

Design of Implementation-Efficient Channel Estimation Filters for Wireless Transmission of OFDM Signal

Jae-Ho RYU, Yong-Hwan LEE

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The detection performance of coherent OFDM receivers significantly depends on the accuracy of channel estimation. The accuracy of channel estimation can be improved by properly post-processing the channel estimate using a so-called channel estimation filter (CEF). Minimum mean-squared error (MMSE) filter is known optimum as the CEF, but it may not be practical due to its implementation complexity. We consider the use of a reduced-complexity CEF whose tap coefficient is real-valued and symmetrically weighted (RSW). The optimum RSW CEF is analytically designed using the SNR and multi-path intensity profile of the channel. For further improvement, we also propose a method to adapt the coefficient of the RSW CEF to the channel condition. Numerical results show that the proposed RSW CEF can provide channel estimation performance comparable to that of linear MMSE filter, while significantly reducing the computational complexity. In addition, the proposed RSW CEF can provide performance robust to unknown timing offset with a fractional dB loss compared to the optimum one.

Publication: IEICE TRANSACTIONS on Communications Vol.E86-B No.11 pp.3192-3199

Publication Date: 2003/11/01

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Type of Manuscript: PAPER

Category: Wireless Communication Technology

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Jae-Ho RYU, Yong-Hwan LEE, "Design of Implementation-Efficient Channel Estimation Filters for Wireless Transmission of OFDM Signal" in IEICE TRANSACTIONS on Communications, vol. E86-B, no. 11, pp. 3192-3199, November 2003, doi: .
Abstract: The detection performance of coherent OFDM receivers significantly depends on the accuracy of channel estimation. The accuracy of channel estimation can be improved by properly post-processing the channel estimate using a so-called channel estimation filter (CEF). Minimum mean-squared error (MMSE) filter is known optimum as the CEF, but it may not be practical due to its implementation complexity. We consider the use of a reduced-complexity CEF whose tap coefficient is real-valued and symmetrically weighted (RSW). The optimum RSW CEF is analytically designed using the SNR and multi-path intensity profile of the channel. For further improvement, we also propose a method to adapt the coefficient of the RSW CEF to the channel condition. Numerical results show that the proposed RSW CEF can provide channel estimation performance comparable to that of linear MMSE filter, while significantly reducing the computational complexity. In addition, the proposed RSW CEF can provide performance robust to unknown timing offset with a fractional dB loss compared to the optimum one.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/e86-b_11_3192/_p

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@ARTICLE{e86-b_11_3192,
author={Jae-Ho RYU, Yong-Hwan LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Design of Implementation-Efficient Channel Estimation Filters for Wireless Transmission of OFDM Signal},
year={2003},
volume={E86-B},
number={11},
pages={3192-3199},
abstract={The detection performance of coherent OFDM receivers significantly depends on the accuracy of channel estimation. The accuracy of channel estimation can be improved by properly post-processing the channel estimate using a so-called channel estimation filter (CEF). Minimum mean-squared error (MMSE) filter is known optimum as the CEF, but it may not be practical due to its implementation complexity. We consider the use of a reduced-complexity CEF whose tap coefficient is real-valued and symmetrically weighted (RSW). The optimum RSW CEF is analytically designed using the SNR and multi-path intensity profile of the channel. For further improvement, we also propose a method to adapt the coefficient of the RSW CEF to the channel condition. Numerical results show that the proposed RSW CEF can provide channel estimation performance comparable to that of linear MMSE filter, while significantly reducing the computational complexity. In addition, the proposed RSW CEF can provide performance robust to unknown timing offset with a fractional dB loss compared to the optimum one.},
keywords={},
doi={},
ISSN={},
month={November},}

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TY - JOUR
TI - Design of Implementation-Efficient Channel Estimation Filters for Wireless Transmission of OFDM Signal
T2 - IEICE TRANSACTIONS on Communications
SP - 3192
EP - 3199
AU - Jae-Ho RYU
AU - Yong-Hwan LEE
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2003
AB - The detection performance of coherent OFDM receivers significantly depends on the accuracy of channel estimation. The accuracy of channel estimation can be improved by properly post-processing the channel estimate using a so-called channel estimation filter (CEF). Minimum mean-squared error (MMSE) filter is known optimum as the CEF, but it may not be practical due to its implementation complexity. We consider the use of a reduced-complexity CEF whose tap coefficient is real-valued and symmetrically weighted (RSW). The optimum RSW CEF is analytically designed using the SNR and multi-path intensity profile of the channel. For further improvement, we also propose a method to adapt the coefficient of the RSW CEF to the channel condition. Numerical results show that the proposed RSW CEF can provide channel estimation performance comparable to that of linear MMSE filter, while significantly reducing the computational complexity. In addition, the proposed RSW CEF can provide performance robust to unknown timing offset with a fractional dB loss compared to the optimum one.
ER -