Peak Regrowth Reduction Based on Segmental Approach for OFDM/OQAM signals

Sandeepkumar, Le Minh, Hoa, Aslam, Nauman and Raza, Mohsin (2018) Peak Regrowth Reduction Based on Segmental Approach for OFDM/OQAM signals. In: SKIMA 2018 - 12th International Conference on Software, Knowledge, Information Management and Applications. International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA . The Institute of Electrical and Electronics Engineers (IEEE), KHM. ISBN 9781538691410

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Abstract

This paper proposes an Overlapped Segmental Deep Clipping (OS-DC) method to suppress the peak regrowth. OS-DC reduces Peak-to-Average Power Ratio (PAPR) in Orthogonal Frequency Division Multiplexing with Offset Quadrature Amplitude Modulation (OFDM/OQAM) signals without the need of multiple iterations. In OS-DC the clipping function is modified to deeply clip the high amplitude peaks and is applied to an OFDM/OQAM transmission system. This achieves up to four times reduction in peak regrowth in comparison to repeated iterative Overlapped Segmental Clipping and Filtering (OS-CF). Furthermore, it is also demonstrated that the proposed method improves signal quality compared to the normal clipping, for the same PAPR.

Item Type: Book Section
Additional Information: Publisher Copyright: © 2018 IEEE.
Uncontrolled Keywords: oqam,os-dc,papr,computer science applications,software,information systems,information systems and management ,/dk/atira/pure/subjectarea/asjc/1700/1706
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 16 Jun 2025 10:31
Last Modified: 16 Jun 2025 10:31
URI: https://ueaeprints.uea.ac.uk/id/eprint/99553
DOI: 10.1109/SKIMA.2018.8631513

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