Massive MIMO系统中I/Q不平衡的信道互易性校准算法研究
首发时间:2017-10-18
摘要:Massive MIMO系统中利用发射端信道状态信息(CSI),对发送数据进行预处理,可以有效减小干扰并提升Massive MIMO系统容量。在实际传输过程中,互易性受到诸多因素制约,造成应用的困难。本文主要研究射频器件的非理想性对Massive MIMO系统信道互易性的影响,并结合基于导频信号的信道估计与FRRH子空间跟踪算法,提出适用于Massive MIMO的信道互易性校准算法。最后通过仿真验证了补偿算法的补偿效果。
关键词: Massive MIMO 信道互易性 信道估计 FRRH
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Research on I / Q Unbalanced Channel Reciprocity Calibration Algorithm in Massive MIMO System
Abstract:Massive MIMO system uses the transmitter channel state information (CSI) to preprocess the transmitted data, which can effectively reduce the interference and enhance the Massive MIMO system capacity. In the actual transmission process, reciprocity is subject to many factors, resulting in application difficulties. In this paper, we mainly study the influence of RF device\'s noncardiosis on channel reciprocity of Massive MIMO system. Combined with channel estimation based on pilot signal and FRRH subspace tracking algorithm, this paper proposes a channel reciprocity calibration method for Massive MIMO. Finally, the compensation effect of the compensation algorithm is verified by simulation.
Keywords: Massive MIMO channel reciprocity channel estimation FRRH
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