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OFDM系统非数据辅助采样频率偏差估计的Cramér-Rao界
Cramér-Rao Bound of Non-data-aided Sampling Frequency Offset Estimation in OFDM Systems
【摘要】 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。
【Abstract】 To sovle the problem of Non-Data-Aided(NDA) sampling frequency synchronization for orthogonal frequency division multiplex(OFDM) systems,the CRB(Cramér-Rao Bound) of NDA sampling frequency synchronization algorithm was proposed.At first,the Probability Distribution Function(PDF) of received signal was deduced.Then,the CRB of NDA sampling frequency synchronization for OFDM systems was deduced according to its definition.At last,the CRB of NDA sampling frequency synchronization for OFDM systems in different modulation,sampling frequency offset and subcarrier number was presented.
【Key words】 orthogonal frequency division multiplexing; sampling frequency offset; non-data-aided; cramér-rao bound;
- 【文献出处】 国防科技大学学报 ,Journal of National University of Defense Technology , 编辑部邮箱 ,2011年01期
- 【分类号】TN919.3
- 【被引频次】5
- 【下载频次】111