Improving convergence rate of active constellation extension algorithm for PAPR reduction in OFDM

Abstract

Active constellation extension(ACE) algorithm is an attractive peak-to-average power ratio(PAPR) reduction method in OFDM systems, because it is easy to implement and compatible with standards. Fast convergence rate of ACE algorithm is an important issue for practical implementation. In this paper, a method is proposed to improve the performance of ACE algorithm, in which the step size for anti-peak signal and the step size for clipping level control are scaled up to speed up the convergence rate. The method is evaluated by simulation and the simulation results show that the method can achieve low PAPR and fast convergence rate. And the trade-off between PAPR reduction and average power increase is analysed, and it can be observed that appropriate combination of scale factors can achieve fast convergence rate and acceptable average power increase.