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Joint carrier frequency offset and channel parameters estimation for MIMO-OFDM systems

机译:MIMO-OFDM系统的联合载波频率偏移和信道参数估计

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Joint channel and frequency offset tracking based on an autoregressive (AR) model are often performed by either assuming the knowledge of the state transition matrix and state noise or obtaining the state transition matrix and state noise via the Yule Walker equations. In this paper, we propose a joint carrier frequency offset (CFO) and channel parameters tracking algorithm for MIMO-OFDM system which is capable of tracking the channel parameters without requirements of additional information such as maximum Doppler frequency and maximum delay spread. The Extended Kalman Filter is proposed for the joint tracking process. Simulation results show that the performance of the proposed method is close to the case when channel parameters are known.
机译:基于自回归(AR)模型的联合信道和频率偏移跟踪通常通过假设状态转移矩阵和状态噪声的知识或通过Yule Walker方程获得状态转移矩阵和状态噪声来执行。在本文中,我们提出了一种用于MIMO-OFDM系统的联合载波频率偏移(CFO)和信道参数跟踪算法,该算法能够跟踪信道参数,而无需其他信息,例如最大多普勒频率和最大延迟扩展。提出了扩展卡尔曼滤波器用于联合跟踪过程。仿真结果表明,该方法的性能接近已知信道参数的情况。

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