Generalized Papoulis–Gerchberg algorithm for PA nonlinearity compensation in coded OFDM systems
Iterative subcarrier regularization (ISR) has been recently proposed to mitigate the nonlinear noise caused by the saturation of power amplifiers in orthogonal frequency-division multiplexing systems. The generalized Papoulis–Gerchberg algorithm (GPGA) used in ISR exploits the frequency-domain prior...
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Published in | ICT express Vol. 10; no. 1; pp. 1 - 8 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.02.2024
Elsevier 한국통신학회 |
Subjects | |
Online Access | Get full text |
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Summary: | Iterative subcarrier regularization (ISR) has been recently proposed to mitigate the nonlinear noise caused by the saturation of power amplifiers in orthogonal frequency-division multiplexing systems. The generalized Papoulis–Gerchberg algorithm (GPGA) used in ISR exploits the frequency-domain prior knowledge specified by standards and time-domain prior knowledge reserved by low nonlinearity amplitudes. It is a reconstruction-based method that may cause bit error rate (BER) degradation when coding techniques are applied. In this work, a dual-loop structure of the GPGA is presented to integrate the cancellation-based methods for maintaining the coding gain. By using a well-known cancellation-based method, iterative clipping noise cancellation (ICNC), as an example, simulations based on the IEEE 802.11ah verified that the proposed scheme effectively maintains the contribution of both the reconstruction-based and cancellation-based methods, thus significantly outperforming the ISR or ICNC in terms of coded BER. |
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ISSN: | 2405-9595 2405-9595 |
DOI: | 10.1016/j.icte.2023.03.002 |