FBMC/OQAM系统中基于子空间的信道估计算法

Channel estimation for FBMC/OQAM systems based on subspace method

针对滤波器组多载波偏移幅度调制(FBMC/OQAM)系统中基于传统导频结构的信道估计方法估计精确度不高、频谱利用率低的问题,提出一种基于子空间的盲信道估计算法。区别于传统的子空间方法,该算法通过空间上的接收分集技术引入数据冗余进行盲信道估计,不需要发送导频序列,从而提高了频谱利用率。仿真结果表明,该算法可以有效地估计信道,而且估计性能优于传统导频方法。

The conventional preamble-based channel estimation schemes for filter bank multi-carrier with offset quadrature amplitude modulation (FBMC/OQAM) systems have low estimation accuracy and the use of preamble for channel estimation decreases the system’s spectrum efficiency. This paper proposed a subspace blind channel estimation method for FBMC/OQAM systems. The proposed method distinguished itself from previously preamble based methods by utilizing spatial diversity technique to introduce data redundancy for blind channel estimation, thereby leading to high spectral utilization. Simulation results verify the efficacy of the proposed method in FBMC/OQAM systems and show that the proposed method can provide significantly root mean square error (RMSE) performance improvement than conventional preamble based methods at high SNRs.