Amplitude reconstruction of clipped OFDM by using DFT-based least squares

Abstract

OFDM is an effective multicarrier transmission technique with one primary disadvantage; it suffers from high Peak-to-Average Power Ratio (PAPR). Although clipping and filtering is a simple and effective method for PAPR reduction, it makes in-band and out-of-band noise, which degrades the bit error rate performance and spectral efficiency. Publications on this subject show that clipped samples could be reconstructed at the receiver by using oversampled signal and bandwidth expansion. By building on published literature, this paper aims to achieve a low-complexity method. The proposed method has complexity order of O(L2) to solve linear system, where L indicates the number of clipped samples. Simulation results confirm that our proposed method leads to both a better biterror rate performance and a lower complexity than similar methods. These results also show that our method offers adequate performance, especially at low clipping ratios.