利用CAZAC序列的OFDM频率同步方法
New Frequency Offset Estimation Methods for OFDM Systems by Using CAZAC Sequence
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摘要: 频率偏移估计是OFDM (Orthogonal Frequency Division Multiplexing)的关键技术。该文提出了在一个OFDM符号内利用两个重复的CAZAC (Constant Amplitude Zero Auto Correlation)序列进行频率偏移估计的新方法，估计范围可达整个OFDM带宽。用于同步的训练序列还可用于信道估计和均衡，这将提高系统的数据传输效率。此算法同步精度达到了Schmidl提出的Cramer-Rao bound，有效性在AWGN和Rayleigh多径信道下得到了验证。Abstract: In this paper a new method for frequency offset estimation is proposed where the training sequence is composed of two Constant Amplitude Zero Auto Correlation (CAZAC) sequences in one OFDM symbol and the frequency offset up to OFDM bandwidth can be detected. The training sequence also can be used for channel estimation and equalization. This will enhance the efficiency of data transmission. Cramer-Rao bound can be reached in the estimation. The valid of the algorithm is verified in AWGN channel and Rayleigh channel.
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