Piecewise-scales transform for the reduction of PAPR of OFDM signals

In this paper, we propose a piecewise-scales transform (PST) for the reduction of peak-to-average power ratio (PAPR) of OFDM signals. By transforming the signal with different scales according to the statistical property of OFDM signals, this method can compress large signals while enhancing small signals, achieving significant reduction in PAPR with low complexity. Specifically, with the complementary cumulative distribution function (CCDF) of PAPR of OFDM signals, this paper proves that the proposed method can compromise well the reduction in PAPR with BER performance in practical OFDM systems by choosing the transform parameters properly. It is confirmed by computer simulations that the proposed PST can outperform the well-known partial transmit sequence and the clipping-filtering methods substantially.