A Novel for PAPR Reduction in Band Limited OFDM Using Peak Cancellation

Abstract

In the era of wireless communication, many research works have been done to reduce the peak average power ratio (PAPR). But due to some undefined reasons, many researchers have been failed to reach the prefect destination. One of the main reasons is that for different signals the PAPR will work differently. Thousands of techniques have been proposed to reduce PAPR one of the technique is proposed to reduce PAPR in this paper is Peak cancellation (PC). Peak cancellation is selected due to ease of hardware implementation. But the main drawback in peak cancellation is it gives rise to in-band distortion and out-of-band radiation. To restrict the distortions made by the signal to an acceptance level, it is little bit complicated to design the cancelling pulses as well as envelope threshold. This paper is used to focus on theoretical analysis of signal and its validity and limitations. Based on the level-crossing rate approximation of the peak distribution, we derive a closed-form expression for the achievable signal-to-distortion power ratio (SDR). We also analyze the adjacent channel leakage ratio (ACLR) as well as error vector magnitude (EVM), with which the symbol error rate (SER) over an additive white Gaussian noise (AWGN) channel is obtained. All the theoretical results developed in this work are compared with those based on the corresponding computer simulations to justify our analytical approach. Index Terms—Adjacent channel leakage ratio (ACLR), error vector magnitude (EVM), orthogonal frequency division multiplexing (OFDM), peak cancellation (PC), peak-to-average power ratio (PAPR), signal-to-distortion power ratio (SDR), symbol error rate (SER).