UFMC系统基于改进离散粒子群的峰均比抑制算法  

A PAPR suppression algorithm based on IDPSO in UFMC system

作　　者：陈雷[1] 刘海洋 郝玉莲 刘帅奇[1] 张锁良[1] CHEN Lei;LIU Haiyang;HAO Yulian;LIU Shuaiqi;ZHANG Suoliang(College of Electronic Information Engineering,Hebei University,Baoding 071000,China)

机构地区：[1]河北大学电子信息工程学院,河北保定071000

出　　处：《南京邮电大学学报（自然科学版）》2023年第5期9-15,共7页Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition

基　　金：国家自然科学基金(62172139)资助项目。

摘　　要：针对通用滤波多载波(UFMC)系统中相同相位信号叠加而引起的峰均比(PAPR)过高的问题,提出一种基于改进离散粒子群(IDPSO)的峰均比抑制算法。该算法在离散粒子群(DPSO)算法的基础上,引入一种对控制参数分段线性调整的改进方式,提升了算法的搜索性能。将改进后的离散粒子群算法与部分传输序列(PTS)相结合形成IDPSO-PTS算法,并对每个子块进行加扰。所提算法在规定迭代次数内搜索最佳的相位因子组合,以降低UFMC系统的峰均比。仿真结果表明:IDPSO-PTS算法与原始UFMC相比,PAPR可降低3.5 dB;与DPSO-PTS算法相比,PAPR可降低0.2 dB;存在大量候选相位因子组合时,IDPSO-PTS算法与PTS技术相比可显著降低计算复杂度。Given the excessive peak⁃to⁃average power ratio(PAPR)in the universal filtered multi⁃carrier(UFMC)system,a PAPR suppression algorithm based on the improved discrete particle swarm optimization(IDPSO)is proposed.Based on the discrete particle swarm optimization(DPSO)algorithm,the algorithm introduces an improved method of segmented linear adjustment of control parameters,improves the search performance of DPSO,and then combines the IDPSO algorithm with the partial transfer sequence(PTS)technology to scramble each subblock.The proposed algorithm searches for the best combination of phase factors within the specified number of iterations to reduce the peak⁃to⁃average ratio of the UFMC system.Simulation results show that the IDPSO⁃PTS algorithm can reduce the PAPR by 3.5 dB compared with the original UFMC,and reduce the PAPR by 0.2 dB compared with the DPSO⁃PTS algorithm.When there are a large number of candidate phase factor combinations,the IDPSO⁃PTS algorithm can significantly reduce the computational complexity compared with the PTS technology.

关 键 词：通用滤波多载波 峰均比 改进离散粒子群算法 部分传输序列 低复杂度 

分 类 号：TN929.5[电子电信—通信与信息系统]