2018
DOI: 10.1109/jsen.2018.2825400
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A 4.06 mW 10-bit 150 MS/s SAR ADC With 1.5-bit/cycle Operation for Medical Imaging Applications

Abstract: This paper reports a 10-bit 150 MS/s successive approximation register (SAR) analog-to-digital converter (ADC) with binary-scaled redundancy-facilitated error correction technique. The proposed 1.5-bit/cycle technique with built-in capacitive digital-to-analog converter (CDAC) redundancy, corrects multiple erroneous decisions in a total of nine conversion cycles. The proposed binary-scaled redundancy provides a 12.5% error tolerance range for the incomplete CDAC voltage settling. The digital error-correction l… Show more

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Cited by 18 publications
(14 citation statements)
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“…In order to reduce input referred voltage (noise) in comparator circuits, it often to design digitally time-sequence switch and very complex techniques to overcome the kickback noise and input offset voltage [38][39][40][41][42] in comparator, and assisted with calibration scheme. [43][44][45] The input referred offset variation due to the capacitive path from ion sensing to the input stage circuit in SoC can degrade the overall performance of the system, for example, the input referred offset voltage shifts the background reference voltage levels in ADC, and result in the erroneous conversion process. In order to reduce the input referred noise to raise the sensitivity for reading the tiny capacitance due to ion change, we proposed a dual offset cancelation double tail comparator shown in Figure 3, and implement this comparator in a SoC sensor array for pH biomarker measurement.…”
Section: Ph Sensing Principle and The Proposed Dual Offset Cancelation In Double Tail Comparatormentioning
confidence: 99%
“…In order to reduce input referred voltage (noise) in comparator circuits, it often to design digitally time-sequence switch and very complex techniques to overcome the kickback noise and input offset voltage [38][39][40][41][42] in comparator, and assisted with calibration scheme. [43][44][45] The input referred offset variation due to the capacitive path from ion sensing to the input stage circuit in SoC can degrade the overall performance of the system, for example, the input referred offset voltage shifts the background reference voltage levels in ADC, and result in the erroneous conversion process. In order to reduce the input referred noise to raise the sensitivity for reading the tiny capacitance due to ion change, we proposed a dual offset cancelation double tail comparator shown in Figure 3, and implement this comparator in a SoC sensor array for pH biomarker measurement.…”
Section: Ph Sensing Principle and The Proposed Dual Offset Cancelation In Double Tail Comparatormentioning
confidence: 99%
“…In contrast, in the proposed design shown in Fig. 1, a 10 bit's ADC's accuracy requirement is ±1/2 11 •VREF and the 6-bit second stage (B6~B13) can quantize up to a total of ±1/2 5 •VREF, which could cover the non-ideal 5-bit first stage (B1~B5)'s quantization error (±1/2 5 •VREF). B5 and B6 shrinks the ADC gain by 31/32 and introduces no nonlinearity; and the same applies to B12 and B13.…”
Section: Introductionmentioning
confidence: 96%
“…This translates to a higher continuous column conversion rate, compared to previous publications [1]- [4]. SAR ADCs are known for their medium resolution, prominent area and power and they have been recently used for high speed applications ranging from a few tens to a few hundred megahertz [5]- [8], using DEC. An N bit accurate conventional SAR ADC operates as both an N bit ADC and an N bit charge balancing DAC, both of which have to meet the accuracy of N bit [8].…”
Section: Introductionmentioning
confidence: 99%
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“…The proposed approach, shares a similarity with multi-bit per step techniques that have been developed for SAR ADCs [3,[12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] in the aspect of conducting multiple comparisons within one conversion cycle. The difference between this approach and the existing multi-bit per step techniques are the following.…”
Section: Introductionmentioning
confidence: 99%