Adaptive sampling frequency offset estimation algorithm for OFDM system
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摘要: 修正了基于数据判决的采样频偏估计公式,提出一种自适应采样频偏估计算法,利用离散导频估计频偏变化,从而得到参与估计的数据符号间隔,并且同时使用信道估计结果和接收数据对采样频率偏差进行估计,达到提高估计精度的目的.仿真表明,在高斯白噪声信道下,新算法估计精度比基于数据判决算法和基于离散导频算法高3 dB左右;在多径信道下,新算法的估计精度比其他两种算法提高5 dB以上.实验结果表明,该算法的星座收敛速度快,提高了接收机性能.Abstract: The estimation formula of sampling frequency offset estimation algorithm based on data decision was corrected. An orthogonal frequency division multiplexing (OFDM) system adaptive sampling frequency offset estimation algorithm was presented. The frequency offset change using discrete pilots to find the interval of the data symbol was estimated, and the sampling frequency offset estimation using the channel estimation results and the received data at the same time was implemented to improve the estimation precision. The simulation results show that, the estimation precision of the new algorithm is higher than the method using pilots or data decision respectively about 3 dB in additive white Gaussian noise channel, and about 5 dB in multipath fading channel. The experiment results show the constellation could be converged better. Therefore, the receiver performance could be improved.
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