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一种改进的基于训练符号的OFDM同步算法

         

摘要

根据一个OFDM符号前面的循环前缀是该符号最后一段数据的复制这一特性,结合Schmidl算法中特殊结构的训练序列,得出了一种改进的利用循环前缀来实现符号与频偏联合估计算法。先利用循环前缀的特性做粗符合同步,之后再利用Schmidl算法中的训练序列前后两部分良好的自相关性,来做细符号同步。仿真结果表明,新算法能够实现精确的符号定时,而且在AWGN和多径信道中均能较容易实现精确的频偏估计。%According to the characteristics that the last paragraph of a OFDM symbol is the copy of the front of this OFDM symbol, and with the training sequence of special structure in Schmidl algorithm, this paper proposes an improved algorithm which uses cycle to achieve the symbols and prefix frequency partial union estimation. Firstly, the coarse symbol synchronization is realized by using the characteristics of the cyclic prefix, and then the fine symbol synchronization is realized by using the good self-correlation characteristics of front and back parts of training sequence in sehmidl algorithm. The simulation results show that the new algorithm can overcome the shortcomings of Schmidl, Park and Minn, and easily realize both precise frequency offset estimation in AWGN and mutilpath channel.

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