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Compensation of IQ-Imbalance and Phase Noise in MIMO-OFDM Systems

机译:mImO-OFDm系统中IQ不平衡和相位噪声的补偿

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摘要

The degrading effect of RF impairments on the performance of wirelesscommunication systems is more pronounced in MIMO-OFDM transmission. Two of themost common impairments that significantly limit the performance of MIMO-OFDMtransceivers are IQ-imbalance and phase noise. Low-complexity estimation andcompensation techniques that can jointly remove the effect of these impairmentsare highly desirable. In this paper, we propose a simple joint estimation andcompensation technique to estimate channel, phase noise and IQ-imbalanceparameters in MIMO-OFDM systems under multipath slow fading channels. Asubcarrier multiplexed preamble structure to estimate the channel andimpairment parameters with minimum overhead is introduced and used in theestimation of IQ-imbalance parameters as well as the initial estimation ofeffective channel matrix including common phase error (CPE). We then use anovel tracking method based on the second order statistics of the inter-carrierinterference (ICI) and noise to update the effective channel matrix throughoutan OFDM frame. Simulation results for a variety of scenarios show that theproposed low-complexity estimation and compensation technique can efficientlyimprove the performance of MIMO-OFDM systems in terms of bit-error-rate (BER).
机译:RF损伤对无线通信系统性能的降低影响在MIMO-OFDM传输中更为明显。严重限制MIMO-OFDM收发器性能的两个最常见的损害是IQ不平衡和相位噪声。可以共同消除这些损害的影响的低复杂度估计和补偿技术是非常需要的。本文提出了一种简单的联合估计和补偿技术,用于估计多径慢衰落信道下MIMO-OFDM系统中的信道,相位噪声和IQ不平衡参数。介绍了一种以最小的开销来估计信道和损伤参数的子载波复用前导结构,并将其用于IQ失衡参数的估计以及有效信道矩阵的初始估计,包括公共相位误差(CPE)。然后,我们使用基于载波间干扰(ICI)和噪声的二阶统计量的anovel跟踪方法来更新整个OFDM帧中的有效信道矩阵。各种场景的仿真结果表明,提出的低复杂度估计和补偿技术可以有效地提高误码率(BER)方面的MIMO-OFDM系统的性能。

著录项

  • 作者

    Bogana, S.;

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  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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