为了克服单独估计中频偏同步和采样率同步二者的相互影响,提高估计精度,提出了一种基于训练序列的OFDM采样率偏移和频率偏移联合估计低复杂度算法。给出了基于该算法的纠偏方案,在不同的采样率偏移、频率偏移、训练符号数目条件下,对所提算法进行了仿真验证。理论分析和实验结果表明,在SUI-3信道环境中,该方法得到的估计结果是一种最佳线性无偏估计量,相比SFFME算法,该算法具有更好的估计性能。
In order to release the influence between frequency offset and sampling frequency offset synchronization and improve estimation accuracy in OFDM system, a kind of joint carriers' frequency offset and sampling frequency offset estimation algorithm owning low complexity based on training sequences is proposed. At different sampling rate offset, frequency offset, training symbol numbers condition, the proposed algorithm is validated by simulation. Theoretical analysis and experimental results show that in the SUI-3 channel, the estimation results obtained by the proposed method is a best linear unbiased estimator. Compared with SFFME algorithm, the new algorithm has better estimation performance.