基于混沌序列相关性的峰均比抑制研究

doi:10.11896/jsjkx.210400292

Computer Science ›› 2022, Vol. 49 ›› Issue (5): 250-255.doi: 10.11896/jsjkx.210400292

• Computer Network • Previous Articles Next Articles

Study on PAPR Reduction Based on Correlation of Chaotic Sequences

ZHAO Geng^1,2, WANG Chao^1,2, MA Ying-jie²

1 School of Telecommunication Engineering,Xidian University,Xi’an 710071,China
2 Beijing Electronic Science and Technology Institute,Beijing 100070,China

Received:2021-04-28 Revised:2021-10-02 Online:2022-05-15 Published:2022-05-06
About author:ZHAO Geng,born in 1964,Ph.D,professor,Ph.D supervisor,is a senior member of China Computer Federation.His main research interests include chao-tic secure communication and information security.
WANG Chao,born in 1996,postgra-duate,is a member of China Computer Federation.His main research interests include communication system and chao-tic secure communication.
Supported by:
National Natural Science Foundation of China(61772047) and First Class Discipline Construction Project of Beijing Electronic Science and Technology Institute(3201017).

Abstract

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.

Key words: Chaotic sequences, Low correlation, Orthogonal frequency division multiplexing, Partial transmission sequence, Peak to average power ratio

CLC Number:

TP391.9

ZHAO Geng, WANG Chao, MA Ying-jie. Study on PAPR Reduction Based on Correlation of Chaotic Sequences[J].Computer Science, 2022, 49(5): 250-255.

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