摘要
正交时频空(orthogonal time frequency space,OTFS)调制在高多普勒环境下可实现可靠通信,适用于卫星通信等高动态场景。然而,其峰值与平均功率比(peak-to-average power ratio,PAPR)易超出功放线性范围,导致非线性失真。部分传输序列(partial transfer sequence,PTS)算法通过对数据符号分块再选取合适的旋转因子可以抑制PAPR。为提高PTS算法抑制PAPR的能力,提出了一种基于改进的灰狼优化(improved grey wolf optimizer,IGWO)算法的PTS算法,即IGWO-PTS算法,以适应离散组合优化问题并获得更优的子块划分方案,从而获得更好的PAPR抑制能力。推导证明了当相位旋转因子集合元素具有旋转对称性时,相位旋转因子组合空间可以收缩为原来的1 K(K为集合中元素个数),极大程度上降低了系统复杂度。仿真实验表明,IGWO-PTS算法相对于传统算法具有更好的PAPR抑制性能,并且在星地高动态场景下可以保持良好的传输可靠性。
Orthogonal time frequency space(OTFS)modulation is shown to enable reliable communication in high-Doppler environments,making it suitable for high-mobility scenarios such as satellite communication.However,its high peak-to-average power ratio(PAPR)often exceeded the linear range of power amplifiers,causing nonlinear distortion.The partial transmit sequence(PTS)algorithm was utilized to mitigate PAPR by dividing data symbols into subblocks and selecting appropriate phase rotation factors.To enhance the PAPR suppression capability of the PTS algorithm,an improved grey wolf optimizer-based PTS algorithm,termed IGWO-PTS,was proposed to address the discrete combinatorial optimization problem,achieving a more optimal subblock partitioning scheme and better PAPR reduction.It was mathematically provened that when the elements of the phase rotation factor set exhibited rotational symmetry,the phase rotation factor combination space could be reduced to 1 K of its original size(where K denotes the number of set elements),resulting in significant reduction in system complexity.Simulation results demonstrate that the IGWO-PTS algorithm outperformes traditional methods in PAPR reduction,maintaines reliable transmission in high-mobility satellite-to-ground scenarios.
作者
宋强健
陈雨濛
朱立东
SONG Qiangjian;CHEN Yumeng;ZHU Lidong(National Key Laboratory of Wireless Communications of UESTC,Chengdu 611731,China)
出处
《电信科学》
北大核心
2025年第5期60-71,共12页
Telecommunications Science
基金
国家自然科学基金资助项目(No.62371098)。
关键词
峰值与平均功率比
部分传输序列算法
改进的灰狼优化算法
空间域收缩
正交时频空
peak-to-average power ratio
partial transfer sequence algorithm
improved grey wolf optimizer algorithm
space domain reduction
orthogonal time frequency space