This paper proposes a new nonlinear distortion compensation scheme for orthogonal multi-carrier modulation systems. Multi-carrier modulation is an effective technique for high speed digital transmission over time-dispersive channels, however, it is very sensitive to nonlinear distortion. The proposed scheme compensates for the performance degradation due to nonlinear distortion using the maximum likelihood (ML) detection criterion. While the ideal ML receiver requires a huge computational cost and is not feasible, the proposed decision algorithm can effectively reduce the computational cost. Instead of evaluating the likelihood function for all the possible sequences, the proposed scheme examines the sequences which differ by only one bit from the sequence decoded by the conventional receiver. Computer simulation results show that the proposed scheme can effectively compensate for the nonlinear distortion.
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Minoru OKADA, Hideki NISHIJIMA, Shozo KOMAKI, "A Maximum Likelihood Decision Based Nonlinear Distortion Compensator for Multi-Carrier Modulated Signals" in IEICE TRANSACTIONS on Communications,
vol. E81-B, no. 4, pp. 737-744, April 1998, doi: .
Abstract: This paper proposes a new nonlinear distortion compensation scheme for orthogonal multi-carrier modulation systems. Multi-carrier modulation is an effective technique for high speed digital transmission over time-dispersive channels, however, it is very sensitive to nonlinear distortion. The proposed scheme compensates for the performance degradation due to nonlinear distortion using the maximum likelihood (ML) detection criterion. While the ideal ML receiver requires a huge computational cost and is not feasible, the proposed decision algorithm can effectively reduce the computational cost. Instead of evaluating the likelihood function for all the possible sequences, the proposed scheme examines the sequences which differ by only one bit from the sequence decoded by the conventional receiver. Computer simulation results show that the proposed scheme can effectively compensate for the nonlinear distortion.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e81-b_4_737/_p
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@ARTICLE{e81-b_4_737,
author={Minoru OKADA, Hideki NISHIJIMA, Shozo KOMAKI, },
journal={IEICE TRANSACTIONS on Communications},
title={A Maximum Likelihood Decision Based Nonlinear Distortion Compensator for Multi-Carrier Modulated Signals},
year={1998},
volume={E81-B},
number={4},
pages={737-744},
abstract={This paper proposes a new nonlinear distortion compensation scheme for orthogonal multi-carrier modulation systems. Multi-carrier modulation is an effective technique for high speed digital transmission over time-dispersive channels, however, it is very sensitive to nonlinear distortion. The proposed scheme compensates for the performance degradation due to nonlinear distortion using the maximum likelihood (ML) detection criterion. While the ideal ML receiver requires a huge computational cost and is not feasible, the proposed decision algorithm can effectively reduce the computational cost. Instead of evaluating the likelihood function for all the possible sequences, the proposed scheme examines the sequences which differ by only one bit from the sequence decoded by the conventional receiver. Computer simulation results show that the proposed scheme can effectively compensate for the nonlinear distortion.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - A Maximum Likelihood Decision Based Nonlinear Distortion Compensator for Multi-Carrier Modulated Signals
T2 - IEICE TRANSACTIONS on Communications
SP - 737
EP - 744
AU - Minoru OKADA
AU - Hideki NISHIJIMA
AU - Shozo KOMAKI
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E81-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 1998
AB - This paper proposes a new nonlinear distortion compensation scheme for orthogonal multi-carrier modulation systems. Multi-carrier modulation is an effective technique for high speed digital transmission over time-dispersive channels, however, it is very sensitive to nonlinear distortion. The proposed scheme compensates for the performance degradation due to nonlinear distortion using the maximum likelihood (ML) detection criterion. While the ideal ML receiver requires a huge computational cost and is not feasible, the proposed decision algorithm can effectively reduce the computational cost. Instead of evaluating the likelihood function for all the possible sequences, the proposed scheme examines the sequences which differ by only one bit from the sequence decoded by the conventional receiver. Computer simulation results show that the proposed scheme can effectively compensate for the nonlinear distortion.
ER -