| Sumari: | 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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