Peak Reduction and Clipping Mitigation in OFDM by Augmented Compressive Sensing

This work establishes the design, analysis, and fine-tuning of a peak-to-average-power-ratio (PAPR) reducing system, based on compressed sensing (CS) at the receiver of a peak-reducing sparse clipper applied to an orthogonal frequency-division multiplexing (OFDM) signal at the transmitter. By exploiting the sparsity of clipping events in the time domain relative to a predefined clipping threshold, the method depends on partially observing the frequency content of the clipping distortion over reserved tones to estimate the remaining distortion.

I. Introduction

Due to the importance of orthogonal frequency-division multiplexing (OFDM) signalling and its derivatives in many telecommunication technologies, its disadvantages have received considerable attention ever since its inception, especially the problem of high PAPR. In this regard, clipping is a very simple and effective technique to combat high PAPR and has been thoroughly analyzed in the literature, although it could cause a significant increase in symbol error rate (SER). As such, some of the most popular attempts at PAPR reduction proposed more intelligent peak limitation methods at the transmitter which resemble clipping, while adding an inherent recovery ability at the receiver using reserved carriers for this function.