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Faster than Nyquist Signaling with Spatial Coupling

Liu, Haoran LU and Zhang, Lingwei (2022) EITM02 20221
Department of Electrical and Information Technology
Abstract (Swedish)
The emergence of the Faster-Than-Nyquist signaling (FTN) technology has im-
proved the tight spectrum resources by compressing the transmission interval
between adjacent pulses. In a natural environment, data transmission via a wire-
less medium and through multi-path, at a high data rate, the leakage of these
paths among symbols can cause severe inter-symbol interference (ISI). In order to
compensate for the ISI caused by FTN, turbo equalization technology is demon-
strated in this thesis.
A challenge when implementing turbo-equalization is the required matching be-
tween channel codes and equalizer, leading to a fundamental trade-off between
waterfall performance and error floor in different Signal-to-Noise (SNR) regions.
... (More)
The emergence of the Faster-Than-Nyquist signaling (FTN) technology has im-
proved the tight spectrum resources by compressing the transmission interval
between adjacent pulses. In a natural environment, data transmission via a wire-
less medium and through multi-path, at a high data rate, the leakage of these
paths among symbols can cause severe inter-symbol interference (ISI). In order to
compensate for the ISI caused by FTN, turbo equalization technology is demon-
strated in this thesis.
A challenge when implementing turbo-equalization is the required matching be-
tween channel codes and equalizer, leading to a fundamental trade-off between
waterfall performance and error floor in different Signal-to-Noise (SNR) regions.
Spatially coupled low-density parity-check codes (SC-LDPC codes) are demon-
strated and optimized by using window decoder to improve the system perfor-
mance.
In this thesis, we mainly investigate SC-LDPC codes with FTN signaling and
turbo equalization. The simulation is written in MATLAB together with some
MEX files. Firstly, FTN signaling with uncoupled convolutional codes and LDPC
codes is simulated as a comparison to a previous article, then SC-LDPC codes are
also implemented to evaluate the performance improvement according to chang-
ing the different parameters, such as code rate R and time-squeezing factor τ.
Meanwhile, the spectral efficiency performance simulation with different code
rates and time acceleration factors is also discussed. The results show that by im-
plementing FTN signaling, turbo equalizer and spatial coupling together in the
system, such a combination can achieve better performance than the traditional
Nyquist scheme in bit error rate (BER) and spectral efficiency (SE) aspects. (Less)
Please use this url to cite or link to this publication:
author
Liu, Haoran LU and Zhang, Lingwei
supervisor
organization
course
EITM02 20221
year
type
H2 - Master's Degree (Two Years)
subject
report number
LU/LTH-EIT 2022-898
language
English
id
9102661
date added to LUP
2022-11-08 14:28:29
date last changed
2022-11-08 14:28:29
@misc{9102661,
  abstract     = {{The emergence of the Faster-Than-Nyquist signaling (FTN) technology has im-
proved the tight spectrum resources by compressing the transmission interval
between adjacent pulses. In a natural environment, data transmission via a wire-
less medium and through multi-path, at a high data rate, the leakage of these
paths among symbols can cause severe inter-symbol interference (ISI). In order to
compensate for the ISI caused by FTN, turbo equalization technology is demon-
strated in this thesis.
A challenge when implementing turbo-equalization is the required matching be-
tween channel codes and equalizer, leading to a fundamental trade-off between
waterfall performance and error floor in different Signal-to-Noise (SNR) regions.
Spatially coupled low-density parity-check codes (SC-LDPC codes) are demon-
strated and optimized by using window decoder to improve the system perfor-
mance.
In this thesis, we mainly investigate SC-LDPC codes with FTN signaling and
turbo equalization. The simulation is written in MATLAB together with some
MEX files. Firstly, FTN signaling with uncoupled convolutional codes and LDPC
codes is simulated as a comparison to a previous article, then SC-LDPC codes are
also implemented to evaluate the performance improvement according to chang-
ing the different parameters, such as code rate R and time-squeezing factor τ.
Meanwhile, the spectral efficiency performance simulation with different code
rates and time acceleration factors is also discussed. The results show that by im-
plementing FTN signaling, turbo equalizer and spatial coupling together in the
system, such a combination can achieve better performance than the traditional
Nyquist scheme in bit error rate (BER) and spectral efficiency (SE) aspects.}},
  author       = {{Liu, Haoran and Zhang, Lingwei}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Faster than Nyquist Signaling with Spatial Coupling}},
  year         = {{2022}},
}