The channel noise in OFDM systems affects the accuracy of channel estimation, deteriorating the performance of equalization. We present a novel algorithm with MMSE (Minimum Mean Square Error) channel estimation based on Hadamard Transform, to mitigate the effects of noise. The performance of the proposed algorithm is proved to be better than that with LS (Least Square) estimation, and very close to that with the MMSE estimation based on Fourier Transform, while the computation required is pretty small due to the use of Hadamard Transform.
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Qihong GE, Jianhua LU, Shunliang MEI, "A Novel Equalization Algorithm with MMSE Channel Estimation Based on Hadamard Transform" in IEICE TRANSACTIONS on Communications,
vol. E86-B, no. 11, pp. 3322-3325, November 2003, doi: .
Abstract: The channel noise in OFDM systems affects the accuracy of channel estimation, deteriorating the performance of equalization. We present a novel algorithm with MMSE (Minimum Mean Square Error) channel estimation based on Hadamard Transform, to mitigate the effects of noise. The performance of the proposed algorithm is proved to be better than that with LS (Least Square) estimation, and very close to that with the MMSE estimation based on Fourier Transform, while the computation required is pretty small due to the use of Hadamard Transform.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/e86-b_11_3322/_p
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@ARTICLE{e86-b_11_3322,
author={Qihong GE, Jianhua LU, Shunliang MEI, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Equalization Algorithm with MMSE Channel Estimation Based on Hadamard Transform},
year={2003},
volume={E86-B},
number={11},
pages={3322-3325},
abstract={The channel noise in OFDM systems affects the accuracy of channel estimation, deteriorating the performance of equalization. We present a novel algorithm with MMSE (Minimum Mean Square Error) channel estimation based on Hadamard Transform, to mitigate the effects of noise. The performance of the proposed algorithm is proved to be better than that with LS (Least Square) estimation, and very close to that with the MMSE estimation based on Fourier Transform, while the computation required is pretty small due to the use of Hadamard Transform.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - A Novel Equalization Algorithm with MMSE Channel Estimation Based on Hadamard Transform
T2 - IEICE TRANSACTIONS on Communications
SP - 3322
EP - 3325
AU - Qihong GE
AU - Jianhua LU
AU - Shunliang MEI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2003
AB - The channel noise in OFDM systems affects the accuracy of channel estimation, deteriorating the performance of equalization. We present a novel algorithm with MMSE (Minimum Mean Square Error) channel estimation based on Hadamard Transform, to mitigate the effects of noise. The performance of the proposed algorithm is proved to be better than that with LS (Least Square) estimation, and very close to that with the MMSE estimation based on Fourier Transform, while the computation required is pretty small due to the use of Hadamard Transform.
ER -