高动态环境OFDM UWB同步技术研究  

Synchronization Algorithm Research of OFDM UWB in High Dynamic Environment

作　　者：孙童 冯亚琪 班如乾 任世杰[1] SUN Tong;FENG Ya-qi;BAN Ru-qian;REN Shi-jie(College of Physics Science and Information Engineering,Liaocheng University,Shandong Liaocheng 252000,China)

机构地区：[1]聊城大学物理科学与信息工程学院

出　　处：《科技视界》2019年第11期75-78,共4页Science & Technology Vision

基　　金：聊城大学大学生创新创业训练计划资助项目(CXCY2018029/201810447019)

摘　　要：研究了正交频分复用超宽带(OFDM UWB)同步算法,进行了载波频偏估计、载波相位跟踪。关于载波频偏估计,分析了时域中基于前导的载波频偏(CFO)估计算法、频域基于训练符号的Moose算法以及频域基于导频的Classen算法,证明Classen算法具有更好的载波频偏估计性能和抗多径干扰能力。关于载波相位跟踪,研究了卡尔曼滤波算法的应用。快速的载波频偏估计和精确的载波相位跟踪使高动态环境OFDM UWB系统性能得到很大提高。Orthogonal Frequency Division Multiplexing Ultra-Wideband(OFDM UWB)synchronization algorithm is studied,it includes carrier frequency offset estimation and phase tracking.For carrier frequency offset estimation,we compare the CP-based carrier frequency offset(CFO)algorithm in time domain,Moose algorithm based on training symbols and Classen algorithm based on pilot frequency in frequency domain.We prove that Classen algorithm has better carrier frequency offset estimation performance and anti-multipath interference ability.For carrier phase tracking,Kalman filter algorithm is researched.Through these research,fast carrier frequency offset estimation and accurate carrier phase tracking improve the performance of OFDM UWB system in high dynamic environment.

关 键 词：高动态 OFDM UWB 载波同步 频偏估计 相位跟踪 

分 类 号：TN911.22[电子电信—通信与信息系统]