An adaptive PAPR reduction scheme for OFDM using SLM with clipping at the transmitter, and sparse reconstruction at the receiver

This paper presents a technique to reduce the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems. The presented scheme combines two well-known techniques, namely selected mapping (SLM) and clipping, in an adaptive way. Allowing an affordable PAPR, which might be exceeded with very small probability, the proposed method aims at minimizing the instantaneous number of clipped peaks per OFDM frame to limit the resulting transmit signal distortion. Using Compressed Sensing based algorithms which account for the potential variation of the number of clips per frame, this clipping strategy directly translates into an improved receiver-side peak reconstruction compared to choosing a fixed number of clipped peaks. It is shown that in this way a receiver-side bit error probability reduction is achieved while guaranteeing the same maximum PAPR at the transmitter.