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THE ML FREQUENCY TRACKING ALGORITHM FOR OFDM SYSTEMS BASED ON PILOT SYMBOLS AND DECISION DATA

机译:基于导频符号和决策数据的OFDM系统ML频率跟踪算法

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摘要

Pilot symbols inserted into OFDM symbols for channel estimation can be used to track the carrier frequency. The main merit of this method is that good performance of frequency tracking can be obtained without additional data. Further analysis for this method is given both in time and frequency domain, the approximate ML estimation result in time domain is derived, and analytical estimation result in frequency domain based on the different style likelihood function is given too. Compared with the original estimation method, new algorithm can decrease the computational complexity greatly, and increase the accuracy of the estimate greatfy. The algorithm can work effectively even if the signal to noise ratio is very low.
机译:插入OFDM符号中用于信道估计的导频符号可用于跟踪载波频率。该方法的主要优点是无需附加数据即可获得良好的频率跟踪性能。对该方法进行了时域和频域的进一步分析,推导了时域的近似ML估计结果,并给出了基于不同风格似然函数的频域分析估计结果。与原来的估计方法相比,新算法可以大大降低计算复杂度,极大地提高了估计的准确性。即使信噪比非常低,该算法也可以有效工作。

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