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首页> 外文期刊>IEEE transactions on circuits and systems. II, Express briefs >Frequency-Selective I/Q Mismatch Calibration of Wideband Direct-Conversion Transmitters
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Frequency-Selective I/Q Mismatch Calibration of Wideband Direct-Conversion Transmitters

机译:宽带直接转换发射机的频率选择I / Q不匹配校准

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摘要

The current trend in building low-cost yet flexible radio transceivers is to use the so-called direct-conversion principle, which is based on complex (I/Q) up- and downconversions. Such transceivers are, however, sensitive to mismatches between the I and Q branches. These mismatches are unavoidable in any practical implementation, and result in finite attenuation of the mirror frequencies. In addition to the mirror-frequency interference problem, I/Q mismatches can severely compromise the performance of power amplifier linearization techniques based on pre-distortion. The effects of these impairments are becoming more pronounced as higher order modulated waveforms and/or more wideband multichannel signals are used. This brief focuses on digital-signal-processor-based I/Q mismatch calibration in wideband direct-conversion transmitters, assuming the challenging case of frequency-dependent I/Q mismatch. First, a novel widely linear (WL) calibration structure is introduced, suitable for frequency-dependent calibration. Then, two alternative principles for calibration parameter estimation are proposed. The first estimation approach stems from second-order statistics of complex communication signals, while the second technique is based on WL least-squares model fitting. Both estimators are shown by simulations to yield very good calibration performance. The obtainable performance is further assessed using laboratory RF signal measurements.
机译:构建低成本但灵活的无线电收发器的当前趋势是使用所谓的直接转换原理,该原理基于复杂的(I / Q)上变频和下变频。然而,这种收发器对I和Q分支之间的失配敏感。这些失配在任何实际实施中都是不可避免的,并导致镜频的有限衰减。除了镜像频率干扰问题之外,I / Q不匹配还会严重损害基于预失真的功率放大器线性化技术的性能。随着使用高阶调制波形和/或使用更多宽带多通道信号,这些损害的影响变得越来越明显。假定频率依赖的I / Q失配具有挑战性,本简报着重介绍宽带直接转换发射机中基于数字信号处理器的I / Q失配校准。首先,介绍了一种新颖的宽线性(WL)校准结构,适用于频率相关的校准。然后,提出了两种可选的校准参数估计原理。第一种估计方法基于复杂通信信号的二阶统计量,而第二种技术基于WL最小二乘模型拟合。仿真显示两个估计器均具有非常好的校准性能。使用实验室RF信号测量进一步评估可获得的性能。

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