IEICE TRANSACTIONS on Fundamentals
Finite Parameter Model for Doubly-Selective Channel Estimation in OFDM
Summary :
To describe joint time- and frequency-selective (doubly-selective) channels in mobile broadband wireless communications, we propose to use the finite parameter model based on the same Bessel functions for each tap (Bessel model). An expression of channel estimation mean squared error (MSE) based on the finite parameter models in Orthogonal Frequency Division Multiplexing (OFDM) systems is derived. Then, our Bessel model is compared with commonly used finite parameter models in terms of the channel estimation MSE. Even if the channel taps have different channel correlations and some of the taps do not coincide with the Bessel function, the channel estimation MSE of the Bessel model is shown to be comparable or outperform existing models as validated by Monte-Carlo simulations over an ensemble of channels in typical urban and suburban environments.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.11 pp.2395-2403
- Publication Date
- 2007/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e90-a.11.2395
- Type of Manuscript
- Special Section PAPER (Special Section on Wideband Systems)
- Category
- OFDM
Authors
Keyword
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Kok Ann Donny TEO, Shuichi OHNO, "Finite Parameter Model for Doubly-Selective Channel Estimation in OFDM" in IEICE TRANSACTIONS on Fundamentals,
vol. E90-A, no. 11, pp. 2395-2403, November 2007, doi: 10.1093/ietfec/e90-a.11.2395.
Abstract: To describe joint time- and frequency-selective (doubly-selective) channels in mobile broadband wireless communications, we propose to use the finite parameter model based on the same Bessel functions for each tap (Bessel model). An expression of channel estimation mean squared error (MSE) based on the finite parameter models in Orthogonal Frequency Division Multiplexing (OFDM) systems is derived. Then, our Bessel model is compared with commonly used finite parameter models in terms of the channel estimation MSE. Even if the channel taps have different channel correlations and some of the taps do not coincide with the Bessel function, the channel estimation MSE of the Bessel model is shown to be comparable or outperform existing models as validated by Monte-Carlo simulations over an ensemble of channels in typical urban and suburban environments.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.11.2395/_p
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@ARTICLE{e90-a_11_2395,
author={Kok Ann Donny TEO, Shuichi OHNO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Finite Parameter Model for Doubly-Selective Channel Estimation in OFDM},
year={2007},
volume={E90-A},
number={11},
pages={2395-2403},
abstract={To describe joint time- and frequency-selective (doubly-selective) channels in mobile broadband wireless communications, we propose to use the finite parameter model based on the same Bessel functions for each tap (Bessel model). An expression of channel estimation mean squared error (MSE) based on the finite parameter models in Orthogonal Frequency Division Multiplexing (OFDM) systems is derived. Then, our Bessel model is compared with commonly used finite parameter models in terms of the channel estimation MSE. Even if the channel taps have different channel correlations and some of the taps do not coincide with the Bessel function, the channel estimation MSE of the Bessel model is shown to be comparable or outperform existing models as validated by Monte-Carlo simulations over an ensemble of channels in typical urban and suburban environments.},
keywords={},
doi={10.1093/ietfec/e90-a.11.2395},
ISSN={1745-1337},
month={November},}
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TY - JOUR
TI - Finite Parameter Model for Doubly-Selective Channel Estimation in OFDM
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2395
EP - 2403
AU - Kok Ann Donny TEO
AU - Shuichi OHNO
PY - 2007
DO - 10.1093/ietfec/e90-a.11.2395
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2007
AB - To describe joint time- and frequency-selective (doubly-selective) channels in mobile broadband wireless communications, we propose to use the finite parameter model based on the same Bessel functions for each tap (Bessel model). An expression of channel estimation mean squared error (MSE) based on the finite parameter models in Orthogonal Frequency Division Multiplexing (OFDM) systems is derived. Then, our Bessel model is compared with commonly used finite parameter models in terms of the channel estimation MSE. Even if the channel taps have different channel correlations and some of the taps do not coincide with the Bessel function, the channel estimation MSE of the Bessel model is shown to be comparable or outperform existing models as validated by Monte-Carlo simulations over an ensemble of channels in typical urban and suburban environments.
ER -
English
