军事通信中基于UFMC信号的峰均比抑制算法  

Peak to Average Ratio Suppression Algorithm Based on UFMC Signal in Military Communication

作　　者：王金丽 马天鸣 金婕[1] 马宏雷 WANG Jinli;MA Tianming;JIN Jie;MA Honglei(School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201600,China)

机构地区：[1]上海工程技术大学电子电气工程学院,上海201620

出　　处：《火力与指挥控制》2023年第11期25-31,39,共8页Fire Control & Command Control

基　　金：国家自然科学基金(61601245,61201245);上海工程技术大学人才行动计划项目(2018RC43)。

摘　　要：针对5G移动通信中的通用滤波多载波(universal filtered multi-carrier,UFMC)系统中信号的峰均比(peak-to-average power ratio,PAPR)较高的问题,提出了一种改进二进制离散粒子群优化的免疫规划的部分传输序列算法(IPA-IBPSO-PTS)。该算法在IBPSO-PTS算法的基础上,采用差分算法中的变异来避免其在迭代搜索后期出现种群多样性丢失的问题,同时引入了新型免疫规划算法中的疫苗接种和免疫选择操作,进一步提升算法的全局收敛速度。理论分析和仿真表明,提出的IPA-IBPSO-PTS算法能够获得更好的PAPR抑制性能,有效地降低了军事移动通信系统的复杂度和误码率。Aiming at the problem of high peak-to-average power ratio(PAPR)in universal Filtered multi-carrier(UFMC)systems,an improved partial transfer sequence algorithm for immune programming based on binary discrete particle swarm optimization(IPA-IBPSO-PTS)algorithm is proposed.Based on the existing IBPSO-PTS algorithm,this algorithm adopts the variation in the difference algorithm to avoid the loss of population diversity in the later stage of iterative search.Meanwhile,vaccination and immune selection operations in IPA are introduced to further improve the global convergence speed of the algorithm.The theoretical analysis and simulation results show that,the proposed IPA-IBPSO-PTS algorithm can not only get better PAPR suppression performance,but also can reduces the complexity and error code rate f military mobile communication system.

关 键 词：通用滤波多载波 峰均比 离散粒子群算法 免疫规划算法 误码率 

分 类 号：TN92[电子电信—通信与信息系统]