Blind I/Q Imbalance Compensation Using Independent Component Analysis in MIMO OFDM Systems
Blind I/Q Imbalance Compensation Using Independent Component Analysis in MIMO OFDM Systems
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DOI：
10.1109/wcnc.2009.4917614
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发表时间：
2009-04
期刊：
影响因子：
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通讯作者：
Jingbo Gao;Xu Zhu;Hai-Hsing Lin;A. Nandi
中科院分区：
文献类型：
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作者：
Jingbo Gao;Xu Zhu;Hai-Hsing Lin;A. Nandi
I/Q不平衡是直接转换发射机和接收机的射频（RF）电路缺陷之一，会导致无线通信系统的严重性能下降。本文提出了一种基于独立分量分析（ICA）的多输入多输出（MIMO）正交频分复用（OFDM）系统中频率相关和频率无关的I/Q不平衡盲补偿算法，其中ICA是一种高效的基于高阶统计量（HOS）的盲源分离技术，用于补偿I/Q不平衡并同时均衡接收信号。此外，采用预编码来消除ICA输出信号中的模糊性。仿真结果表明，该方法不仅可以有效地补偿I/Q不平衡，而且可以获得频率分集增益，优于完全信道状态信息（CSI）和无I/Q不平衡的情况。
I/Q imbalance, which is one of the radio frequency (RF) circuit impairments in direct conversion transmitter and receiver, introduces severe performance degradation in wireless communication systems. In this paper, we propose a novel blind compensation algorithm for both frequency-dependent and frequency-independent I/Q imbalance based on independent component analysis (ICA) in multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, where ICA, an efficient higher order statistics (HOS) based blind source separation technique, is applied to compensate for I/Q imbalance and equalize the received signals simultaneously. Moreover, precoding is employed to resolve the ambiguity in the ICA output signals. Simulation results show that the proposed approach can not only compensate for I/Q imbalance effectively, but also achieve frequency diversity gains and outperform the case with perfect channel state information (CSI) and no I/Q imbalance.