IEICE TRANSACTIONS on Communications
Reduced-Complexity RBF-Assisted TEQ Using Extended FCM Algorithm for Dispersive Rayleigh-Fading Channels
Summary :
In this paper, we propose a reduced-complexity radial basis function (RBF)-assisted decision-feedback equalizer (DFE)-based turbo equalization (TEQ) scheme using a novel extended fuzzy c-means (FCM) algorithm, which not only is comparable in performance to the Jacobian RBF DFE-based TEQ but also is low-complexity. Previous TEQ research has shown that the Jacobian RBF DFE TEQ considerably reduces the computational complexity with similar performance, when compared to the logarithmic maximum a posteriori (Log-MAP) TEQ. In this study, the proposed reduced-complexity RBF DFE TEQ further greatly reduces the computational complexity and is capable of attaining a similar performance in contrast to the Jacobian RBF DFE TEQ in the context of both binary phase-shift keying (BPSK) modulation and 4 quadrature amplitude modulation (QAM). With this proposal, the materialization of the RBF-assisted TEQ scheme becomes more feasible.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.5 pp.1502-1510
- Publication Date
- 2008/05/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.5.1502
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Kun-Huang KUO, Jenn-Kaie LAIN, "Reduced-Complexity RBF-Assisted TEQ Using Extended FCM Algorithm for Dispersive Rayleigh-Fading Channels" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 5, pp. 1502-1510, May 2008, doi: 10.1093/ietcom/e91-b.5.1502.
Abstract: In this paper, we propose a reduced-complexity radial basis function (RBF)-assisted decision-feedback equalizer (DFE)-based turbo equalization (TEQ) scheme using a novel extended fuzzy c-means (FCM) algorithm, which not only is comparable in performance to the Jacobian RBF DFE-based TEQ but also is low-complexity. Previous TEQ research has shown that the Jacobian RBF DFE TEQ considerably reduces the computational complexity with similar performance, when compared to the logarithmic maximum a posteriori (Log-MAP) TEQ. In this study, the proposed reduced-complexity RBF DFE TEQ further greatly reduces the computational complexity and is capable of attaining a similar performance in contrast to the Jacobian RBF DFE TEQ in the context of both binary phase-shift keying (BPSK) modulation and 4 quadrature amplitude modulation (QAM). With this proposal, the materialization of the RBF-assisted TEQ scheme becomes more feasible.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.5.1502/_p
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@ARTICLE{e91-b_5_1502,
author={Kun-Huang KUO, Jenn-Kaie LAIN, },
journal={IEICE TRANSACTIONS on Communications},
title={Reduced-Complexity RBF-Assisted TEQ Using Extended FCM Algorithm for Dispersive Rayleigh-Fading Channels},
year={2008},
volume={E91-B},
number={5},
pages={1502-1510},
abstract={In this paper, we propose a reduced-complexity radial basis function (RBF)-assisted decision-feedback equalizer (DFE)-based turbo equalization (TEQ) scheme using a novel extended fuzzy c-means (FCM) algorithm, which not only is comparable in performance to the Jacobian RBF DFE-based TEQ but also is low-complexity. Previous TEQ research has shown that the Jacobian RBF DFE TEQ considerably reduces the computational complexity with similar performance, when compared to the logarithmic maximum a posteriori (Log-MAP) TEQ. In this study, the proposed reduced-complexity RBF DFE TEQ further greatly reduces the computational complexity and is capable of attaining a similar performance in contrast to the Jacobian RBF DFE TEQ in the context of both binary phase-shift keying (BPSK) modulation and 4 quadrature amplitude modulation (QAM). With this proposal, the materialization of the RBF-assisted TEQ scheme becomes more feasible.},
keywords={},
doi={10.1093/ietcom/e91-b.5.1502},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Reduced-Complexity RBF-Assisted TEQ Using Extended FCM Algorithm for Dispersive Rayleigh-Fading Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 1502
EP - 1510
AU - Kun-Huang KUO
AU - Jenn-Kaie LAIN
PY - 2008
DO - 10.1093/ietcom/e91-b.5.1502
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2008
AB - In this paper, we propose a reduced-complexity radial basis function (RBF)-assisted decision-feedback equalizer (DFE)-based turbo equalization (TEQ) scheme using a novel extended fuzzy c-means (FCM) algorithm, which not only is comparable in performance to the Jacobian RBF DFE-based TEQ but also is low-complexity. Previous TEQ research has shown that the Jacobian RBF DFE TEQ considerably reduces the computational complexity with similar performance, when compared to the logarithmic maximum a posteriori (Log-MAP) TEQ. In this study, the proposed reduced-complexity RBF DFE TEQ further greatly reduces the computational complexity and is capable of attaining a similar performance in contrast to the Jacobian RBF DFE TEQ in the context of both binary phase-shift keying (BPSK) modulation and 4 quadrature amplitude modulation (QAM). With this proposal, the materialization of the RBF-assisted TEQ scheme becomes more feasible.
ER -
English
