Reduced-Complexity RBF-Assisted TEQ Using Extended FCM Algorithm for Dispersive Rayleigh-Fading Channels

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概要

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• 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 phaseshift keying (BPSK) modulation and 4 quadrature amplitude modulation (QAM). With this proposal, the materialization of the RBF-assisted TEQ scheme becomes more feasible.

著者

• KUO Kun-Huang

  Graduate School of Engineering Science and Technology, National Yunlin University of Science and Tec

• LAIN Jenn-Kaie

  Department of Electronic Engineering, National Yunlin University of Science and Technology

関連論文

• Reduced-Complexity RBF-Assisted TEQ Using Extended FCM Algorithm for Dispersive Rayleigh-Fading Channels
• Reduced-Complexity RBF-Assisted TEQ Using Extended FCM Algorithm for Dispersive Rayleigh-Fading Channels
• A Low-Complexity and High-Performance 2D Look-Up Table for LDPC Hardware Implementation

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