Fast GAMP algorithm for nonlinearly distorted OFDM signals
In this letter, the design of a low-complexity receiver which is robust to orthogonal frequency division multiplex (OFDM) signals with nonlinear clipping distortion is investigated. An approximation of the probability density function (PDF) of the received signals with nonlinear distortion is derive...
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sg-ntu-dr.10356-1649732023-03-10T01:19:11Z Fast GAMP algorithm for nonlinearly distorted OFDM signals Yang, Chaosan Liu, Xiaobei Guan, Yong Liang Liu, Rongke School of Electrical and Electronic Engineering Temasek Laboratories @ NTU Engineering::Electrical and electronic engineering::Wireless communication systems Orthogonal Frequency Division Multiplex Peak-to-Average Power Ratio In this letter, the design of a low-complexity receiver which is robust to orthogonal frequency division multiplex (OFDM) signals with nonlinear clipping distortion is investigated. An approximation of the probability density function (PDF) of the received signals with nonlinear distortion is derived. Based on iteration-dependent approximation of the mean and variance of the clipped signal, a fast generalized approximate message passing (F-GAMP) algorithm is proposed. The proposed F-GAMP achieves bit error rate (BER) performance gain over the conventional OFDM receiver due to the F-GAMP's ability to recover inter-carrier interference (ICI) and exploit frequency diversity induced by the spectral growth of a clipped signal. With almost the same BER performance as the conventional GAMP algorithm, the proposed F-GAMP reduces the computational complexity by a factor of about 3000! This work was supported by Beijing Natural Science Foundation (L202003); Chinese Scholarship Council Grant (201806020012); and National Natural Science Foundation of China (No. 31700479). 2023-03-10T01:19:11Z 2023-03-10T01:19:11Z 2021 Journal Article Yang, C., Liu, X., Guan, Y. L. & Liu, R. (2021). Fast GAMP algorithm for nonlinearly distorted OFDM signals. IEEE Communications Letters, 25(5), 1682-1686. https://dx.doi.org/10.1109/LCOMM.2021.3056657 1089-7798 https://hdl.handle.net/10356/164973 10.1109/LCOMM.2021.3056657 2-s2.0-85100814493 5 25 1682 1686 en IEEE Communications Letters © 2021 IEEE. All rights reserved. |
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Engineering::Electrical and electronic engineering::Wireless communication systems Orthogonal Frequency Division Multiplex Peak-to-Average Power Ratio Yang, Chaosan Liu, Xiaobei Guan, Yong Liang Liu, Rongke Fast GAMP algorithm for nonlinearly distorted OFDM signals |
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In this letter, the design of a low-complexity receiver which is robust to orthogonal frequency division multiplex (OFDM) signals with nonlinear clipping distortion is investigated. An approximation of the probability density function (PDF) of the received signals with nonlinear distortion is derived. Based on iteration-dependent approximation of the mean and variance of the clipped signal, a fast generalized approximate message passing (F-GAMP) algorithm is proposed. The proposed F-GAMP achieves bit error rate (BER) performance gain over the conventional OFDM receiver due to the F-GAMP's ability to recover inter-carrier interference (ICI) and exploit frequency diversity induced by the spectral growth of a clipped signal. With almost the same BER performance as the conventional GAMP algorithm, the proposed F-GAMP reduces the computational complexity by a factor of about 3000! |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Yang, Chaosan Liu, Xiaobei Guan, Yong Liang Liu, Rongke |
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Article |
author |
Yang, Chaosan Liu, Xiaobei Guan, Yong Liang Liu, Rongke |
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Yang, Chaosan |
title |
Fast GAMP algorithm for nonlinearly distorted OFDM signals |
title_short |
Fast GAMP algorithm for nonlinearly distorted OFDM signals |
title_full |
Fast GAMP algorithm for nonlinearly distorted OFDM signals |
title_fullStr |
Fast GAMP algorithm for nonlinearly distorted OFDM signals |
title_full_unstemmed |
Fast GAMP algorithm for nonlinearly distorted OFDM signals |
title_sort |
fast gamp algorithm for nonlinearly distorted ofdm signals |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/164973 |
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1761781792426164224 |