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Low-complexity graph-based turbo equalization for single-carrier and multi-carrier FTN signaling

Yu, T, Zhao, M, Zhong, J, Zhang, J and Xiao, P (2017) Low-complexity graph-based turbo equalization for single-carrier and multi-carrier FTN signaling IET Signal Processing, 11 (7). pp. 838-845.

FINALA Novel Low-Complexity Turbo Detection Scheme Based on FG-SS-BP Algorithm for SC-FTN and MC-FTN Signaling revision.pdf - Accepted version Manuscript

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We propose a novel turbo detection scheme based on the factor graph serial-schedule belief propagation equalization algorithm with low complexity for single-carrier faster-than-Nyquist (FTN) and multicarrier FTN signaling. In this work, the additive white Gaussian noise channel and multi-path fading channels are both considered. The iterative factor graph-based equalization algorithm can deal with severe intersymbol interference and intercarrier interference introduced by the generation of single-carrier and multi-carrier FTN signals, as well as the effect of multi-path fading. With the application of Gaussian approximation, the complexity of the proposed equalization algorithm is significantly reduced. In the turbo detection, Low density parity check code is employed. The simulation results demonstrate that the factor graph-based turbo detection method can achieve satisfactory performance with low complexity.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Yu, T
Zhao, M
Zhong, J
Zhang, J
Date : 3 May 2017
DOI : 10.1049/iet-spr.2016.0251
Copyright Disclaimer : Copyright 2017 IET. This paper is a postprint of a paper submitted to and accepted for publication in IET Signal Processing, and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.
Uncontrolled Keywords : SC-FTN, MC-FTN, FG-SS-BP equalization, GA, low complexity, multi-path fading channel
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:58
Last Modified : 16 Jan 2019 18:52

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