Decision-aided channel estimation in clipped OFDM

Clipping is a popular and simple method to overcome large peak-to-mean envelope power ratios (PMEPR) in OFDM systems, but it results in a nonlinear distortion, which degrades the performance of channel estimation and signal detection. In this paper, based on a channel estimation scheme that only part of the OFDM tones are used for pilot, the effect of clipping on channel estimation is analyzed. Accordingly, a signal decision-aided channel estimation algorithm is proposed to mitigate the clipping distortion and derive the potential gain of the algorithm. Theoretical and simulation results show that the proposed method can improve the performance of channel estimation and signal detection in clipped OFDM.