A Study on Parameter Optimization for PC-CFR Algorithm

Due to the low complexity, the peak cancellation algorithm (PC-CFR) can be applied to reduce the high peak-to-average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. The core of the PC-CFR algorithm is that the spectrum of its correcting signal is nearly identical to the spectrum of the OFDM signal, so the signal waveform design of the correcting signal becomes the key component of the algorithm. In this paper, the two key parameters of the correcting signal, filter type and filter order, are studied. A number of filters and filter orders are compared to demonstrate that the fir1 with 122(order) performs great balance among PAPR reduction, in-band distortion and out-of-band radiation based on the complementary cumulative distribution function(CCDF), error vector magnitude(EVM) and Power Spectral Density(PSD) that are main indicators to measure PAPR reduction technology. The experiment also proves that under the same conditions, the PC-CFR algorithm using these two parameters is superior to other CFR algorithms in reducing the peak-to-average ratio and the out-of-band rejection.