文件名称:on-the-modulation-technology-in-OFDM
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在 OFDM 数学原理和收发模型的基础上，本文对帧同步、定时同步、频率同
步和采样同步给 OFDM 系统所产生的影响进行了理论分析，同时讨论了基于循环
前缀或训练符号的典型 OFDM 同步算法。参考 802.11a 突发数据帧结构和系统参
数，分析几种 OFDM 同步算法用于突发分组传输的性能；在分析了几种经典的信
道估计算法基础上,通过对复杂度和性能的折衷，选择一种适合本文系统的估计
算法。最后作者提出一种改进型 LS 信道估计算法，该算法考虑了 LS 算法中噪声
的影响，从而提高了低信噪比下信道估计的精度。仿真结果表明，改进算法在低
信噪比下具有良好的性能。
-OFDM mathematical principles and transceiver model based on fr a me synchronization, timing synchronization, frequency synchronization and sampling synchronization to the OFDM system, the impact of the theoretical analysis are also discussed based on the cyclic prefix or training symbols typical OFDM synchronization algorithm . Reference 802.11a burst data fr a me structure and system parameters, analyze several OFDM synchronization algorithm for burst packet transmission performance several classic channel estimation algorithm based on a compromise between complexity and performance, select a suitable estimation algorithm in this article. Finally, the author proposed a modified LS channel estimation algorithm that takes into account the effects of noise in the LS algorithm, thus improving the low SNR channel estimation accuracy. Simulation results show that the improved algorithm has good performance in low signal-to-noise ratio.
步和采样同步给 OFDM 系统所产生的影响进行了理论分析，同时讨论了基于循环
前缀或训练符号的典型 OFDM 同步算法。参考 802.11a 突发数据帧结构和系统参
数，分析几种 OFDM 同步算法用于突发分组传输的性能；在分析了几种经典的信
道估计算法基础上,通过对复杂度和性能的折衷，选择一种适合本文系统的估计
算法。最后作者提出一种改进型 LS 信道估计算法，该算法考虑了 LS 算法中噪声
的影响，从而提高了低信噪比下信道估计的精度。仿真结果表明，改进算法在低
信噪比下具有良好的性能。
-OFDM mathematical principles and transceiver model based on fr a me synchronization, timing synchronization, frequency synchronization and sampling synchronization to the OFDM system, the impact of the theoretical analysis are also discussed based on the cyclic prefix or training symbols typical OFDM synchronization algorithm . Reference 802.11a burst data fr a me structure and system parameters, analyze several OFDM synchronization algorithm for burst packet transmission performance several classic channel estimation algorithm based on a compromise between complexity and performance, select a suitable estimation algorithm in this article. Finally, the author proposed a modified LS channel estimation algorithm that takes into account the effects of noise in the LS algorithm, thus improving the low SNR channel estimation accuracy. Simulation results show that the improved algorithm has good performance in low signal-to-noise ratio.
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