Polar-Coded Faster-than-Nyquist (FTN) Signaling with Adaptive Decision Feedback Equalization

Hui Xu, K. Ng Benjamin, Chan Tong Lam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Faster-than-Nyquist (FTN) signaling system has higher throughput and capacity. However, employing non-orthogonal transmission will inevitably introduce inter-symbol interference (ISI). In order to obtain ideal performance, receiver equalization alone is insufficient. Thus, this paper proposes a polar coding scheme applied to the FTN signaling system, employing the successive cancellation list (SCL) decoding algorithm and adaptive least mean square decision feedback equalization (LMSDFE) to decode and detect the received signal. The simulation results show that the proposed polar-coded FTN signaling system with LMS-DFE (FTN-LMS-DFE) has a lower bit error rate (BER) and higher reliability than the uncoded FTN-LMS-DFE.

Original languageEnglish
Title of host publication2023 8th International Conference on Signal and Image Processing, ICSIP 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages919-923
Number of pages5
ISBN (Electronic)9798350397932
DOIs
Publication statusPublished - 2023
Event8th International Conference on Signal and Image Processing, ICSIP 2023 - Wuxi, China
Duration: 8 Jul 202310 Jul 2023

Publication series

Name2023 8th International Conference on Signal and Image Processing, ICSIP 2023

Conference

Conference8th International Conference on Signal and Image Processing, ICSIP 2023
Country/TerritoryChina
CityWuxi
Period8/07/2310/07/23

Keywords

  • adaptive least mean square decision feedback equalization(LMS-DFE)
  • faster-than-Nyquist (FTN) signaling
  • inter-symbol interference(ISI)
  • polar code
  • successive cancellation list(SCL)

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