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作 者:李世宝[1] 赵成锁 李作志 LI Shibao;ZHAO Chengsuo;LI Zuozhi(College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao 266580,China;Qingdao Port Emergency Rescue Co.,Ltd.,Qingdao 266001,China)
机构地区:[1]中国石油大学(华东)海洋与空间信息学院,山东青岛266580 [2]青岛港应急救援有限公司,山东青岛266001
出 处:《电讯技术》2025年第3期437-444,共8页Telecommunication Engineering
基 金:山东省自然科学基金项目(ZR2023LZH010,ZR2020MF005)。
摘 要:针对低分辨毫米波定时恢复算法在低采样率下无法通过循环相关获取定时误差估计值的问题,提出了一种循环相关保持的低分辨低采样率定时恢复算法,并且设计了独特的预处理和后处理模块以保证循环相关估计器所必需的数据平稳特性和非混叠性。预处理模块通过均匀相位抖动以及非有理过采样获得循环相关要求的平稳基带数据。后处理模块对平稳基带数据进行复调制和低通滤波,解决了低采样率下的循环相关混叠消失问题。定时估计器模块利用数据的循环相关特性,对数据执行相关、滞后相关运算,通过相位求解方法导出定时误差估计结果值。仿真结果表明,所提算法与现有最优的Martin定时恢复算法相比定时误差估计精度提升了75%。For the problem that the low resolution millimeter wave timing recovery algorithm is unable to obtain the timing error estimate by cyclic correlation at low sampling rate,a low resolution and low sampling rate timing recovery algorithm for cyclic correlation holdover is proposed,and unique pre-processing and post-processing modules are designed to ensure the data smoothing characteristics and non-mixing required for cyclic correlation estimators.The preprocessing module obtains the smooth baseband data with cyclic correlation requirement by uniform phase jitter and irrational oversampling.The post-processing module performs complex modulation and low-pass filtering on the smooth baseband data to solve the problem of vanishing cyclic correlation aliasing at low sampling rates.The timing estimator module utilizes the cyclic correlation property of the data,performs correlation and hysteresis correlation operations on the data,and derives the timing error estimation result value through the phase solving method.Simulation results show that the proposed algorithm improves the timing error estimation accuracy by 75%compared with the existing Martin’s algorithm,which is optimal for timing recovery.
关 键 词:毫米波通信 定时误差估计 循环相关 定时恢复 低采样率
分 类 号:TN929.5[电子电信—通信与信息系统]
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