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Statistical efficiency of Synchronous Time-to-Digital Converters

机译:同步时间到数字转换器的统计效率

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In this paper, the Cramér-Rao Lower Bound (CRLB) on the variance of time interval duration estimators is derived for synchronous Time-to-Digital (TDC) converters, based on a coarse counter, keeping into account the effect of noise affecting the TDC clock period. The model has been validated using Montecarlo analysis. By comparing the CRLB to the variance of the TDC output, also theoretically modeled together with the estimator mean value and bias, the statistical efficiency of the considered TDC architecture has been demonstrated.
机译:在本文中,在时间间隔持续时间估计器的方差上的Cramér-Rao下界(CRLB)用于基于粗略计数器的同步时间 - 数字(TDC)转换器,以考虑影响影响的噪音的效果TDC时钟周期。使用Montecarlo分析验证了该模型。通过将CRLB与TDC输出的方差进行比较,也与估计均值和偏置一起理论地建模,已经证明了考虑的TDC架构的统计效率。

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