A 35fJ/Step differential successive approximation capacitive sensor readout circuit with quasi-dynamic operation

Omran, Hesham; Alhoshany, Abdulaziz; Alahmadi, Hamzah; Salama, Khaled N.

doi:10.1109/vlsic.2016.7573533

Cited by 19 publications

(9 citation statements)

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“…If the method of increasing the signal power discussed in Section 3.1 is applied, there is room for reducing power consumption because the noise performance required to achieve the same SNR is alleviated [ 47 ]. Alternatively, a structure that removes the power of the pre-amplifier with a capacitance-to-digital (CDC) that connects the ADC directly to the sensor without using the pre-amplifier or a structure that eliminates overlapping circuits by combining the analog front-end pre-amplifier and ADC is suggested to reduce the power consumption of analog front-end circuits [ 48 , 49 , 50 , 51 , 52 ].…”

Section: Technical Issues Of the Capacitive Sensor Readout Systemmentioning

confidence: 99%

Readout Circuits for Capacitive Sensors

Yoo

Choi

2021

Micromachines

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The development of microelectromechanical system (MEMS) processes enables the integration of capacitive sensors into silicon integrated circuits. These sensors have been gaining considerable attention as a solution for mobile and internet of things (IoT) devices because of their low power consumption. In this study, we introduce the operating principle of representative capacitive sensors and discuss the major technical challenges, solutions, and future tasks for a capacitive readout system. The signal-to-noise ratio (SNR) is the most important performance parameter for a sensor system that measures changes in physical quantities; in addition, power consumption is another important factor because of the characteristics of mobile and IoT devices. Signal power degradation and noise, which degrade the SNR in the sensor readout system, are analyzed; circuit design approaches for degradation prevention are discussed. Further, we discuss the previous efforts and existing studies that focus on low power consumption. We present detailed circuit techniques and illustrate their effectiveness in suppressing signal power degradation and achieving lower noise levels via application to a design example of an actual MEMS microphone readout system.

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Section: Technical Issues Of the Capacitive Sensor Readout Systemmentioning

confidence: 99%

Readout Circuits for Capacitive Sensors

Yoo

Choi

2021

Micromachines

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“…Thus, minimizing C DAC and C p1 is beneficial to improve sensitivity, especially when C s is small. The calculation in (7) shows that the proposed CDC sensitivity depends on the parasitic capacitance C p1 , while this is not the case for the traditional switched-capacitor architectures (see [9]), which use an operational transconductance amplifier (OTA) to perform the charge transfer. As shown in Fig.…”

Section: Capacitive Bridge Analysismentioning

confidence: 99%

“…For another extreme case, when C s is much smaller than 2.5 pF, it is suggested to implement a comparable C r on-chip both for better sensitivity and less energy consumption, as the area overhead would be negligible. However, the sensitivity reduction caused by C DAC and C p1 becomes more relevant in this case, according to (7), and this will lead to performance degradation.…”

Section: Capacitive Bridge Analysismentioning

confidence: 99%

“…where S rel,ADC is the relative increase of ADC sensitivity, C core is the capacitance of the core DAC, C ATT is the added attenuation capacitance which is implemented with metal-insulatormetal capacitors, and C DAC is the final total DAC capacitance. Note that with the increase of ADC sensitivity, the bridge sensitivity will be reduced according to (7), as the value of C DAC becomes larger. However, this sensitivity reduction is not significant as long as C DAC is still much smaller than the sum of C s , C r , and C p1 .…”

Section: E Asynchronous Sar Adcmentioning

confidence: 99%

“…In [10], the speed can scale by about 13×, but the power scales only about 2.6×. The quasi-dynamic architecture proposed in [7] and the fully digital architecture in [11] can theoretically scale power and speed over a wide range, but this was not included in their measurement data. The direct SAR CDC architectures [12]- [14] where the sensing capacitance is incorporated in the digital to analog converter (DAC) capacitor array of the SAR analogto-digital-converter (ADC) can provide a large speed and power scalability as well.…”

Section: Introductionmentioning

confidence: 99%

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IEEE J. Solid-State Circuits

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Beyond Flexible: Unveiling the Next Era of Flexible Electronic Systems

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et al. 2024

Advanced Materials

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Flexible electronics are integral in numerous domains such as wearables, healthcare, physiological monitoring, human–machine interface, and environmental sensing, owing to their inherent flexibility, stretchability, lightweight construction, and low profile. These systems seamlessly conform to curvilinear surfaces, including skin, organs, plants, robots, and marine species, facilitating optimal contact. This capability enables flexible electronic systems to enhance or even supplant the utilization of cumbersome instrumentation across a broad range of monitoring and actuation tasks. Consequently, significant progress has been realized in the development of flexible electronic systems. This study begins by examining the key components of standalone flexible electronic systems–sensors, front‐end circuitry, data management, power management and actuators. The next section explores different integration strategies for flexible electronic systems as well as their recent advancements. Flexible hybrid electronics, which is currently the most widely used strategy, is first reviewed to assess their characteristics and applications. Subsequently, transformational electronics, which achieves compact and high‐density system integration by leveraging heterogeneous integration of bare‐die components, is highlighted as the next era of flexible electronic systems. Finally, the study concludes by suggesting future research directions and outlining critical considerations and challenges for developing and miniaturizing fully integrated standalone flexible electronic systems.

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A 35fJ/Step differential successive approximation capacitive sensor readout circuit with quasi-dynamic operation

Cited by 19 publications

References 0 publications

Readout Circuits for Capacitive Sensors

Readout Circuits for Capacitive Sensors

A 0.1-nW–1-$\mu$ W Energy-Efficient All-Dynamic Versatile Capacitance-to-Digital Converter

Beyond Flexible: Unveiling the Next Era of Flexible Electronic Systems

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