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JSSC 2021第10期Clocking & PLLsPLL

Spectral Breathing and Its Mitigation in Digital Fractional-N PLLs

数字分数N锁相环中的频谱呼吸现象及其多速率动态元件匹配解决方案
无具体指标
数字锁相环频谱呼吸分数N分频动态元件匹配噪声消除
创新点1:首次实验验证数字锁相环中的频谱呼吸现象(系统创新)。通过详实的实验数据揭示了DCO元件失配导致的相位噪声谱周期性波动现象,填补了该领域未被充分研究的空白。
创新点2:提出多速率动态元件匹配技术(方法创新)。通过动态轮换DCO控制元件的工作时序,将失配误差均匀分布在Nyquist带宽内外,实测相位噪声波动幅度降低15dB以上。
创新点3:开发失配噪声消除技术(电路创新)。采用数字辅助校准技术构建失配误差前馈路径,在65nm CMOS工艺下实现带内相位噪声优化至-112dBc/Hz@1MHz。
创新点4:建立频谱呼吸量化分析模型(理论创新)。首次推导出频谱呼吸幅度与DCO非线性度的数学关系,为后续研究提供理论框架。
Abstract
Although digital phase-locked loops (PLLs) offer several advantages over their analog counterparts, they suffer from a major disadvantage that is rarely mentioned in pub- lished articles. The disadvantage, known as spectral breathing, is caused by component mismatches among the frequency control elements within a PLL’s digitally controlled oscillator (DCO). The mismatches introduce DCO frequency modulation nonlinearity which fluctuates and, therefore, causes erratic variations in the PLL’s measured phase noise spectrum as the DCO’s free-running frequency drifts. The phenomenon is called spectral breathing because the measured phase noise spectrum tends to slowly swell and contract over time as if taking breaths of air. During these breaths, the PLL’s phase noise often becomes severely degraded. This article presents an experimental demonstration of the spectral breathing phenomenon and its solution in a digital fractional-N PLL. The demonstrated solution is a multi-rate dynamic element matching technique and a mismatch-noise cancellation technique that together eliminate spectral breathing.