在以MIMO-OFDM为基础的IEEE 802.11n无线局域网系统中,引入循环移位延时(CSD)以区分不同数据流上的数据,但也给同步带来了难题.若以训练序列与接收信号相关,造成的伪相关现象会导致定时不准,影响接收机的性能.为此,通过分析802.11n所定义的前导符号结构特点和CSD的影响,提出了新型的802.11n联合符号定时同步与细频偏估计算法.仿真结果表明,其优点是不受频偏的影响,并能较好地抑制前导符号运算中伪相关结果的产生,提高检测的准确度.
The introduction of cyclic shift delay (CSD) is used in IEEE 802.11 n to distinguish different spatial streams, however it poses a challenge to synchronization. The traditional synchronization methods, which utilize the cross-correlation between the local training sequence and the received signal, will cause many spurious peaks and result in deteriorated synchronization performance. A new joint symbol synchro- nization and fine frequency offset estimation algorithm is proposed. It exploits the structure of IEEE 802. 11 n preamble and adopts a delay-correlation algorithm to eliminate the effect of CSD. The proposed algo- rithm has advantages in avoiding the effect of carrier frequency offset, suppressing the generation of spuri- ous peak results and improving the detection accuracy.