Ultra low power 12-Bit SAR ADC for wireless sensing applications

Gudlavalleti, R. H.; Bose, S.

doi:10.1109/vlsi-sata.2016.7593060

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…As a result, the two types of converters perform alternately in a whole conversion cycle. A standard SAR ADC is outstanding in the aspect of conversion speed and power efficiency, while high precision is characteristic of a ΣΔ ADC [ 33 , 34 , 35 , 36 ]. The implemented zoom conversion in this work united both advantages and was, therefore, more efficient, so that rigorous design requirements for both ADC components of the above two types were no longer necessary.…”

Section: System Overview and Topology Analysismentioning

confidence: 99%

A Digital Interface ASIC for Triple-Axis MEMS Vibratory Gyroscopes

Chen

et al. 2020

Sensors

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This paper proposes a solution for sensing spatial angular velocity. A high-performance digital interface application specific integrated circuit (ASIC) for triple-axis micro-electromechanical systems (MEMS) vibratory gyroscopes is presented. The technique of time multiplexing is employed for synergetic stable drive control and precise angular velocity measurement in three separate degrees of freedom (DOF). Self-excited digital closed loop drives the proof mass in sensing elements at its inherent resonant frequency for Coriolis force generation during angular rotation. The analog front ends in both drive and sense loops are comprised of low-noise charge-voltage (C/V) converters and multi-channel incremental zoom analog-to-digital converters (ADC), so that capacitance variation between combs induced by mechanical motion is transformed into digital voltage signals. Other circuitry elements, such as loop controlling and accurate demodulation modules, are all implemented in digital logics. Automatic amplitude stabilization is mainly realized by peak detection and proportion-integration (PI) control. Nonlinear digital gain adjustment is designed for rapid establishment of resonance oscillation and linearity improvement. Manufactured in a standard 0.35-μm complementary metal-oxide-semiconductor (CMOS) technology, this design achieves a bias instability of 2.1°/h and a nonlinearity of 0.012% over full-scale range.

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Section: System Overview and Topology Analysismentioning

confidence: 99%

A Digital Interface ASIC for Triple-Axis MEMS Vibratory Gyroscopes

Chen

et al. 2020

Sensors

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“…The channel estimation in massive MIMO with low-resolution ADC is studied [28]. In addition, there are a number of recent ADC designs to improve the power efficiency [29]- [31]. Compressive Sensing (CS) has been applied in ADC design [32] to reduce the sampling rate thus to reduce the power consumption.…”

Section: Introductionmentioning

confidence: 99%

Signal Recovery Performance Analysis in Wireless Sensing with Rectangular-Type Analog Joint Source-Channel Coding

Zhao¹,

Sadhu²,

Pompili³

2020

Preprint

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The signal recovery performance of the rectangular-type Analog Joint Source-Channel Coding (AJSCC) is analyzed in this work for high and medium/low Signal-to-Noise Ratio (SNR) scenarios in the wireless sensing systems. The analysis and derivations of the medium/low SNR scenario are based on the comprehensive listing of all the signal variation cases in the three-dimensional signal mapping curve of the rectangular-type AJSCC.Theoretical formulations of Mean Square Error (MSE) performance are derived for both analog sensing and digital sensing systems with rectangular-type AJSCC. Evaluation results indicate that, there are optimal parameters in the rectangular-type AJSCC to minimize the signal recovery MSE performance at high and medium/low SNR scenarios. In addition, the performance of digital sensing with low-resolution Analog-to-Digital Conversion (ADC) is compared with analog sensing for both high and medium/low SNR scenarios in this work. The theoretical and evaluation results have practical value to the wireless sensing system designs based on the rectangular-type AJSCC.

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An efficient-energy switching scheme with 99.57% reduction in switching energy for SAR ADC

Ding

Tan

et al. 2019

Analog Integr Circ Sig Process

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Ultra low power 12-Bit SAR ADC for wireless sensing applications

Cited by 6 publications

References 8 publications

A Digital Interface ASIC for Triple-Axis MEMS Vibratory Gyroscopes

A Digital Interface ASIC for Triple-Axis MEMS Vibratory Gyroscopes

Signal Recovery Performance Analysis in Wireless Sensing with Rectangular-Type Analog Joint Source-Channel Coding

An efficient-energy switching scheme with 99.57% reduction in switching energy for SAR ADC

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