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研究了OFDM系统中非数据辅助采样频率偏差估计性能的衡量问题,推导了其Cramér-Rao界(CRB)。根据中心极限定理,对接收信号中的子载波间干扰进行近似,推导了在未知调制信息时接收信号的概率密度;根据CRB的定义,对非数据辅助采样频率偏差估计的CRB进行了推导;通过蒙特卡罗积分的方法得到了在不同OFDM基带调制方式、不同采样频率偏差及不同系统子载波数时的非数据辅助采样频率偏差估计的CRB。
The performance of non-data-aided sampling frequency offset estimation in OFDM system is studied. Its Cramér-Rao bound (CRB) is deduced. According to the central limit theorem, the subcarrier interference in the received signal is approximated, and the probability density of the received signal in unknown modulation information is deduced. According to the definition of CRB, CRB of non-data-aided sampling frequency offset estimation is deduced. The Monte Carlo integration method is used to obtain the CRB of non-data-aided sampling frequency offset estimation under different OFDM baseband modulation schemes, different sampling frequency offsets and different system subcarriers.