火力与指挥控制2023，Vol.48Issue(11)：25-31,39,8.DOI:10.3969/j.issn.1002-0640.2023.11.004
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
摘要
Abstract
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Key words
universal filter multicarrier/peak-to-average power ratio/discrete particle swarm optimization/immune programming algorithm/error code rate分类
信息技术与安全科学引用本文复制引用
王金丽,马天鸣,金婕,马宏雷..军事通信中基于UFMC信号的峰均比抑制算法[J].火力与指挥控制,2023,48(11):25-31,39,8.基金项目
国家自然科学基金(61601245,61201245) （61601245,61201245）
上海工程技术大学人才行动计划项目(2018RC43) （2018RC43）
