Clipping Noise Cancelation for OFDM Systems Using Reliable Observations Based on Compressed Sensing

In this paper, a clipping noise cancelation scheme using compressed sensing (CS) technique is proposed for orthogonal frequency division multiplexing systems. The proposed scheme does not need reserved tones or pilot tones, which is different from the previous works using CS technique. Instead, observations of the clipping noise in data tones are exploited, which leads to no loss of data rate. Also, in contrast with the previous works, the proposed scheme selectively exploits the reliable observations of the clipping noise instead of using whole observations, which results in minimizing the bad influence of channel noise. From the selected reliable observations, the clipping noise in time domain is reconstructed and canceled by using CS technique. Simulation results show that the proposed scheme performs well compared to other conventional clipping noise cancelation schemes and shows the best performance in some cases.

I. Introduction

Orthogonal frequency division multiplexing (OFDM) is known as one of the best modulation schemes for high-rate data transmission in wireless communications due to its robustness against multipath fading, bandwidth efficiency, and simple implementation. However, due to high peak-to-average power ratio (PAPR) of an OFDM signal, OFDM systems require expensive high power amplifiers having a large dynamic range.