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Algorithmic-Pipelined ADC with a Modified Residue Curve for Better Linearity

机译:具有改进的残留曲线的算法 - 流水线ADC,用于更好的线性度

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In this paper, the minimum total required transconductance for the different architectures of the pipelined ADC are computed. This helps the pipelined ADC designers to find the most power-efficient architecture between different topologies based on the same input-referred thermal noise. It is shown that the Algorithmic-Pipelined ADC requires a simpler Sub-ADC and shows lower sensitivity to the Multiplying DAC (MDAC) errors and smaller area and power dissipation in comparison to the conventional multi-bit per stage pipelined ADC. Also, it is shown that the Algorithmic-Pipelined architecture is more-tolerant to capacitive mismatch for the same input-referred thermal noise than the conventional multi-bit per stage architecture. To take full advantage of these properties, a modified residue curve for the pipelined ADC is proposed. This concept introduces better linearity compared with the conventional residue curve of the pipelined ADC; this approach is particularly attractive for the digitization of signals with large peak to average ratio such as OFDM coded signals.
机译:在本文中,计算了流水线ADC的不同架构所需的最小总跨导。这有助于流水线ADC设计人员根据相同的输入引用的热噪声找到不同拓扑之间最有效的架构。结果表明,算法 - 流水线ADC需要更简单的子ADC,并且与传统的多级流水线ADC相比,对乘法DAC(MDAC)误差和较小区域和功耗的较低灵敏度。此外,示出了算法 - 流水线架构对相同的输入引用的热噪声的电容错配比每级架构的传统多比特相同。为了充分利用这些性质,提出了流水线ADC的改性残留曲线。与流水线ADC的传统残留曲线相比,该概念引入了更好的线性度;这种方法对于具有大峰值的信号的数字化特别有吸引力,例如OFDM编码信号的平均比率。

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