基于循环前缀的OFDM联合同步算法设计  

Design of Joint Synchronization Algorithm for OFDM Based on Cyclic Prefix

作　　者：刘梦阳 汪红娟 李业丽 LIU Mengyang;WANG Hongjuan;LI Yeli(College of Information Engineering,Beijing Institute of Graphic Communication,Beijing 102600,China)

机构地区：[1]北京印刷学院信息工程学院,北京106200

出　　处：《北京印刷学院学报》2018年第11期99-103,共5页Journal of Beijing Institute of Graphic Communication

基　　金：国家自然科学基金项目(项目编号:11603004);北京市自然科学基金项目(项目编号:1173010);北京市教委项目(项目编号:KM201710015004);北京印刷学院校内教师队伍建设项目(项目编号:27170118003/006)

摘　　要：通过研究最大相似性(Maximum Likelihood,ML)算法,并将其应用到正交频分复用(OFDM,Orthogonal Frequency Division Multiplexing)系统中,对其性能进行分析。OFDM系统较其他无线通信系统有明显的优势,但是也存在着对同步误差敏感的缺点,而ML算法可以解决OFDM系统的这一缺点。ML算法是利用OFDM码元中循环前缀所携带的冗余信息,并对其进行最大似然估计算法进行计算,尽而来完成码元定时同步和载波频率同步的一种算法。ML算法相对于其他同步算法,可以一步完成初始捕获和同步跟踪,因此被广泛应用于OFDM系统中。By studying the Maximum Likelihood(ML)algorithm and applying it to Orthogonal Frequency Division Multiplexing(OFDM)system,its performance is analyzed.OFDM systems have obvious advantages over other wireless communication systems,but they also have the disadvantage of being sensitive to synchronization errors,and the ML algorithm can solve this shortcoming of OFDM systems.The ML algorithm is an algorithm that utilizes the redundant information carried by the cyclic prefix in the OFDM symbol and performs a maximum likelihood estimation algorithm to calculate the symbol timing synchronization and carrier frequency synchronization.Compared with other synchronization algorithms,the ML algorithm can perform initial acquisition and synchronization tracking in one step,and thus is widely used in OFDM systems.

关 键 词：正交频分复用 码元定时同步 载波频率同步 ML算法 

分 类 号：TN919[电子电信—通信与信息系统]