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A study of joint tracking algorithms of carrier frequency offset and sampling clock offset for OFDM-based WLANs

机译:基于OFDM的WLAN的载波频率偏移与采样时钟偏移联合跟踪算法研究。

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We present three joint tracking algorithms of carrier frequency and sampling clock offsets for OFDM-based WLAN systems, such as IEEE 802.11a standard. In such systems, one symbol usually contains a few pilots so that the estimation accuracy and robustness of conventional methods do not satisfy the system requirement. In this paper, three joint tracking algorithms for accurate frequency and sampling estimation are presented. The first method is performed by a one-dimensional least square estimation and averaging over L symbols. The second algorithm compares the phase difference of the current symbol with the subsequent D-th symbol and gives better performance, especially when the SNR or synchronization offset is smaller. The third method uses two-dimensional linear least square estimation within the frequency and time domains. Simulations using these algorithms have been performed with 16-QAM modulation schemes. Simulation results show that the three algorithms can improve the estimation accuracy and robustness.
机译:对于基于OFDM的WLAN系统,我们提出了三种载波频率和采样时钟偏移联合跟踪算法,例如IEEE 802.11a标准。在这样的系统中,一个符号通常包含几个导频,因此常规方法的估计精度和鲁棒性不能满足系统要求。本文提出了三种用于精确频率和采样估计的联合跟踪算法。第一种方法是通过一维最小二乘估计并对L个符号求平均来执行的。第二种算法将当前符号的相位差与随后的第D个符号进行比较,并提供更好的性能,尤其是在SNR或同步偏移较小的情况下。第三种方法在频域和时域内使用二维线性最小二乘估计。使用这些算法的仿真已通过16-QAM调制方案执行。仿真结果表明,这三种算法可以提高估计的准确性和鲁棒性。

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