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在分布式MIMO-OFDM系统中,不同收发天线对之间信号的时间延迟和频率偏移均不相同,因而同时估计各个收发天线对之间的定时和频率偏移是分布式MIMO-OFDM系统同步最具挑战性的部分之一.本文通过在时域对各发射天线的本原训练序列用具有良好互相关的伪随机序列加权,提出了一种适用于分布式MIMO-OFDM系统时频同步的新的训练序列及相应的时频同步方案.它首先利用伪随机加权序列的良好自相关和互相关性特性以及本原训练序列的分段共轭对称性估计各收发天线对之间的定时偏移,然后利用本原训练序列中的重复短序列进行迭代频率偏移估计.理论分析与仿真结果表明,相比传统方案,该方案不仅能够更好地估计出所有收发天线对之间的定时偏移,而且还能够同时估计出所有收发天线对之间的频率偏移.
In the distributed MIMO-OFDM system, the time delay and frequency offset of the signals between different pairs of transmitting and receiving antennas are different. Therefore, it is also estimated that the timing and frequency offset between each transmitting and receiving antenna pair are distributed MIMO-OFDM system synchronization One of the most challenging parts.In this paper, we propose a new method for time-frequency synchronization in distributed MIMO-OFDM systems by weighting the original training sequences of each transmitting antenna in the time domain with a pseudo-random sequence with good cross-correlation New training sequence and corresponding time-frequency synchronization scheme.Firstly, it uses the good autocorrelation and cross-correlation properties of pseudo-random weighted sequences and the piecewise conjugate symmetry of the original training sequence to estimate the timing offset between each pair of transmitting and receiving antennas And then iterative frequency offset estimation is performed by using repeated short sequences in the original training sequence.Theoretical analysis and simulation results show that this scheme not only can better estimate the timing offset between all the transmitting and receiving antenna pairs Shift, but also be able to simultaneously estimate the frequency offset between all transceiver antenna pairs.