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IEICE TRANSACTIONS on Communications

Post-Processing of Iterative Estimation and Cancellation Scheme for Clipping Noise in OFDM Systems

Kee-Hoon KIM, Chanki KIM

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Summary :

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.

Publication
IEICE TRANSACTIONS on Communications Vol.E106-B No.4 pp.352-358
Publication Date
2023/04/01
Publicized
2022/09/30
Online ISSN
1745-1345
DOI
10.1587/transcom.2022EBP3090
Type of Manuscript
PAPER
Category
Wireless Communication Technologies

Authors

Kee-Hoon KIM
  Hankyong National University
Chanki KIM
  Jeonbuk National University

Keyword