Clipping is an efficient and simple method that can reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, clipping causes in-band distortion referred to as clipping noise. To resolve this problem, a novel iterative estimation and cancellation (IEC) scheme for clipping noise is one of the most popular schemes because it can significantly improve the performance of clipped OFDM systems. However, IEC exploits detected symbols at the receiver to estimate the clipping noise in principle and the detected symbols are not the sufficient statistic in terms of estimation theory. In this paper, we propose the post-processing technique of IEC, which fully exploits given sufficient statistic at the receiver and thus further enhances the performance of a clipped OFDM system as verified by simulations.
Kee-Hoon KIM
Hankyong National University
Chanki KIM
Jeonbuk National University
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Kee-Hoon KIM, Chanki KIM, "Post-Processing of Iterative Estimation and Cancellation Scheme for Clipping Noise in OFDM Systems" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 4, pp. 352-358, April 2023, doi: 10.1587/transcom.2022EBP3090.
Abstract: Clipping is an efficient and simple method that can reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, clipping causes in-band distortion referred to as clipping noise. To resolve this problem, a novel iterative estimation and cancellation (IEC) scheme for clipping noise is one of the most popular schemes because it can significantly improve the performance of clipped OFDM systems. However, IEC exploits detected symbols at the receiver to estimate the clipping noise in principle and the detected symbols are not the sufficient statistic in terms of estimation theory. In this paper, we propose the post-processing technique of IEC, which fully exploits given sufficient statistic at the receiver and thus further enhances the performance of a clipped OFDM system as verified by simulations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2022EBP3090/_p
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@ARTICLE{e106-b_4_352,
author={Kee-Hoon KIM, Chanki KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Post-Processing of Iterative Estimation and Cancellation Scheme for Clipping Noise in OFDM Systems},
year={2023},
volume={E106-B},
number={4},
pages={352-358},
abstract={Clipping is an efficient and simple method that can reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, clipping causes in-band distortion referred to as clipping noise. To resolve this problem, a novel iterative estimation and cancellation (IEC) scheme for clipping noise is one of the most popular schemes because it can significantly improve the performance of clipped OFDM systems. However, IEC exploits detected symbols at the receiver to estimate the clipping noise in principle and the detected symbols are not the sufficient statistic in terms of estimation theory. In this paper, we propose the post-processing technique of IEC, which fully exploits given sufficient statistic at the receiver and thus further enhances the performance of a clipped OFDM system as verified by simulations.},
keywords={},
doi={10.1587/transcom.2022EBP3090},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Post-Processing of Iterative Estimation and Cancellation Scheme for Clipping Noise in OFDM Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 352
EP - 358
AU - Kee-Hoon KIM
AU - Chanki KIM
PY - 2023
DO - 10.1587/transcom.2022EBP3090
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2023
AB - Clipping is an efficient and simple method that can reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, clipping causes in-band distortion referred to as clipping noise. To resolve this problem, a novel iterative estimation and cancellation (IEC) scheme for clipping noise is one of the most popular schemes because it can significantly improve the performance of clipped OFDM systems. However, IEC exploits detected symbols at the receiver to estimate the clipping noise in principle and the detected symbols are not the sufficient statistic in terms of estimation theory. In this paper, we propose the post-processing technique of IEC, which fully exploits given sufficient statistic at the receiver and thus further enhances the performance of a clipped OFDM system as verified by simulations.
ER -