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首页> 外文期刊>IEEE transactions on circuits and systems . I , Regular papers >Iterative Gain Enhancement in an Algorithmic ADC
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Iterative Gain Enhancement in an Algorithmic ADC

机译:算法ADC中的迭代增益增强

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This paper presents a 14.9-bit 3.57-MS/s algorithmic ADC that uses iterative gain enhancement, a technique that uses multiple clock phases to increase the effective op-amp gain in a switched-capacitor circuit. Using an op-amp that gives only 30-dB loop gain in a feedback circuit without gain enhancement, application of the iterative gain enhancement technique boosts the loop gain to 81 dB. The algorithmic ADC uses a capacitor sharing and scaling technique, which saves power and reduces errors. The ADC has an active area of 0.75 in 0.25- CMOS and dissipates 16.2 mW. Iterative gain enhancement increases the SNDR from 44.6 dB to 78.5 dB and the SFDR from 45.9 dB to 96.2 dB. Reducing the number of gain-enhancement iterations for the LSBs increases the conversion rate from 3.57 MS/s to 4.65 MS/s with only minor performance degradation.
机译:本文介绍了一种使用迭代增益增强的14.9位3.57-MS / s算法ADC,该技术使用多个时钟相位来增加开关电容器电路中的有效运算放大器增益。使用在反馈电路中仅提供30dB环路增益而没有增益增强的运算放大器,则应用迭代增益增强技术会将环路增益提升至81dB。算法ADC使用电容器共享和缩放技术,从而节省了功率并减少了误差。 ADC在0.25-CMOS中的有效面积为0.75,耗散16.2 mW。迭代增益增强将SNDR从44.6 dB增加到78.5 dB,将SFDR从45.9 dB增加到96.2 dB。减少LSB的增益增强迭代次数可以将转换速率从3.57 MS / s提高到4.65 MS / s,而性能只会稍有下降。

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