Study on PAPR Reduction Based on Correlation of Chaotic Sequences

Abstract

After analyzing the main techniques to reduce the peak to average power ratio (PAPR),a partial transmission sequence method (CL-PTS) based on low correlation of chaotic sequences is proposed to solve the problem that the reduction effect is gene-rally not ideal.In this method,several chaotic sequences with low autocorrelation are multiplied by the original signal,and the average instantaneous power of OFDM system is reduced by inverse fast Fourier transform (IFFT).Simulation results show that when the complementary cumulative distribution function (CCDF) is 10－3,the PAPR reduction effect of this method is about 1 dB compared with other similar algorithms,but the algorithm is too complex and consumes more spectrum resources.On this basis,an improved correlation algorithm (CM-PTS) is proposed.This paper analyzes the influence of the number of sub blocks of PTS algorithm on the amount of computation and using the characteristics of IFFT transform,the PAPR can be reduced by changing the insertion position of the sequence in the system.The results show that CM-PTS algorithm can reduce the PAPR value by about 0.5 dB without increasing the BER.

Keywords

• orthogonal frequency division multiplexing|partial transmission sequence|chaotic sequences|peak to average power ratio|low correlation