计算机科学 ›› 2022, Vol. 49 ›› Issue (5): 250-255.doi: 10.11896/jsjkx.210400292

• 计算机网络 • 上一篇    下一篇

基于混沌序列相关性的峰均比抑制研究

赵耿1,2, 王超1,2, 马英杰2   

  1. 1 西安电子科技大学通信工程学院 西安710071
    2 北京电子科技学院 北京100070
  • 收稿日期:2021-04-28 修回日期:2021-10-02 出版日期:2022-05-15 发布日期:2022-05-06
  • 通讯作者: 王超(583956200@qq.com)
  • 作者简介:(w13279480125@163.com)
  • 基金资助:
    国家自然科学基金(61772047);北京电子科技学院一流学科建设项目(3201017)

Study on PAPR Reduction Based on Correlation of Chaotic Sequences

ZHAO Geng1,2, WANG Chao1,2, MA Ying-jie2   

  1. 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).

摘要: 针对降低峰均功率比(Peak-to-Average Power Ratio,PAPR)的主要技术的降低效果普遍不理想的情况,文中提出一种基于混沌序列低相关性的部分传输序列法(Chaotic Sequence with Low Correlation of Partial Transmission Sequence,CL-PTS)。该方法使用自相关性较低的数条混沌序列与原始信号相乘,经过快速傅里叶逆变换(Inverse Fast Fourier Transform,IFFT)降低OFDM系统的瞬时功率平均值。仿真结果表明,在互补累积分布函数(Complementary Cumulative Distribution Function,CCDF)为10-3时,该方法降低PAPR的效果相比其他同类算法有1 dB左右的增益,但算法的计算复杂度过高且需消耗较多的频谱资源。在此情况下,提出了改进的相关性算法(Chaotic Sequence with Low Correlation of Modified Partial Transmission Sequence,CM-PTS),分析了PTS算法的子块数对计算量的影响。利用IFFT变换的特点,通过改变序列在系统中的插入位置达到降低PAPR的目的。实验结果表明,CM-PTS算法在增加较少计算量的同时可以使PAPR的值降低约0.5 dB,同时不会引起误比特率的提高。

关键词: 部分传输序列, 低相关性, 峰均功率比, 混沌序列, 正交频分复用

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

中图分类号: 

  • TP391.9
[1]NOORAZLINA M S,SULONG S M,SAID M S M,et al.Design of MIMO F-OFDM System Model for PAPR Reduction in the Growth of 5G Network[J].Journal of Physics:Conference Series,2021,1793(1):012067.
[2]SARKAR M,KUMAR A,MAJI B.PAPR reduction using twin symbol hybrid optimization-based PTS and multi-chaotic-DFT sequence-based encryption in CP-OFDM system[J].Photonic Network Communications,2021,41(1):148-162.
[3]TAKEBUCHI S,ARAI T,MAEHARA F.A novel clipping and filtering method employing transmit power control for OFDM systems[C]//2012 IEEE Wireless Communications and Networking Conference(WC/UC).2012:221-225.
[4]CHEN X R,QIU X,CHAI X R.A PAPR Reduction Technique for OFDM Systems Using Phase-Changed Peak Windowing Method:Regular Section[J].IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences,2021,E104.A(3):627-631.
[5]SALEH M A.,HAMOOD M T,AHMED M S.Reducing peak to average power ratio (PAPR) of OFDM systems using complex BIFORE precoding transform[J].IOP Conference Series:Materials Science and Engineering,2021,1058(1):012067.
[6]MOUNIR M,El M M B,BERRA S,et al.A Novel Hybrid Pre-coding-Companding Technique for Peak-to-Average Power Ratio Reduction in 5G and beyond[J].Sensors,2021,21(4):1410.
[7]YOUSSEF M I,TARRAD I F,MOUNIR M.Performance eva-luation of hybrid ACE-PTS PAPR reduction techniques[C]//International Conference on Computer Engineering & Systems.IEEE,2016.
[8]PRIYANKA M,MEHBOOB U A.PAPR reduction in OFDMusing various coding techniques[J].International Journal of Wireless and Mobile Computing,2018,15(1):16-20.
[9]XIA Y J,JI J W.Low-Complexity Blind Selected MappingScheme for Peak-to-Average Power Ratio Reduction in Ortho-gonal Frequency-Division Multiplexing Systems[J].Information,2018,9(9):220.
[10]JUNG S J.Early termination algorithm for SLM-based PAPR reduction schemes in OFDM systems[J].IEICE Communications Express,2020,9(11):535-540.
[11]TARIK H A,HAMZA A.Low-complexity PAPR reductionmethod based on the TLBO algorithm for an OFDM signal[J/OL].Annals of Telecommunications,2020.https://schlr.cnki.net/zn/Detail/index/GARJ2020/SSJDC378BB48CE7E602DFC5566368DFD9CF7.
[12]SARANKUMAR R,SUMATHI K,SAI S G,et al.ReducingComplexity in PTS Scheme using Optimization Techniques to reduce PAPR in OFDM Systems[J/OL].IOP Conference Series:Materials Science and Engineering,2021,1074(1).
[13]HU C,WANG L Y,ZHOU Z.Low-complexity PTS schemes for PAPR reduction in OFDM systems[J/OL].IET Communications,2020,14(18).https://doi.org/10.1049/iet-com.2020.0076.
[14]DEEPA D,POONGODI C,SANDHIYADEVI P,et al.Reduc-tion of Peak Power in ofdm Signal Using Cyclic Shifting in Partial Transmit Method[J].IOP Conference Series:Materials Science and Engineering,2021,1084(1):012049.
[15]HOSSEINZADEH A M,SHARIFI A A.A novel ant colony optimization algorithm for PAPR reduction of OFDM signals[J/OL].International Journal of Communication Systems,2020,34(1).https://doi.org/10.1002/dac.4648.
[16]SUN Q Q,CHEN B J,ZHAO J B.A suboptimal PTS-WHT joint PAPR suppression algorithm[J].Applied Science and Technology,2020,47(5):41-44,52.
[17]CAI D,JI X Y,SHI H,et al.Improved piecewise Logistic chaotic mapping method and its performance analysis[J].Journal of Nanjing University (Natural Science),2016,52(5):45-51.
[18]WEI C,SUI A J,FAN J L.An improved piecewise logistic map and its performance analysis[J].Journal of Xi’an University of Post and Telecommunications,2012,17(5):52-56.
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