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A Novel Bootstrapped CMOS Switch with Minimized Sampling and Holding Error Using Sampling Window Error Analysis

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dc.contributor.author Gupta, Anu
dc.contributor.author Shekhar, Chandra
dc.date.accessioned 2024-11-26T10:53:10Z
dc.date.available 2024-11-26T10:53:10Z
dc.date.issued 2024
dc.identifier.uri https://www.worldscientific.com/doi/10.1142/S0218126624502645
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16503
dc.description.abstract This study proposes a novel 6-transistor bootstrapped switch with minimized sampling and holding error obtained through sampling window error analysis for SAR ADC design. The proposed switch design strategically mitigates channel charge injection and minimizes the input signal dependency of on-resistance by optimizing its sizing parameters. To counteract channel charge effects, dummy NMOS and PMOS components are judiciously employed, culminating in a substantial improvement in the effective number of bits (ENOB). The complete analysis of the proposed circuit is done using the Cadence Virtuoso SCL 0.18 μm CMOS process. For a 51.514 kHz sinusoidal 1 V peak-to-peak differential input signal with a 1 MSPs clock speed, the proposed circuit achieves 2.0141 mV maximum sampling window error, 0.131 μW power consumption, 84.67 dB signal-to-noise ratio (SNR), 84.67 signal-to-noise and distortion (SINAD) ratio and 86.02 dB spurious-free dynamic range (SFDR), which produces 13.77 bits ENOB. For the impacts of process variations and mismatch on switch performance, a comprehensive 500-point Monte Carlo (MC) simulation of the proposed bootstrap switch is conducted in this study. Post-layout results show that the proposed circuit is suitable for IoT applications. en_US
dc.language.iso en en_US
dc.publisher World Scientific en_US
dc.subject EEE en_US
dc.subject Sample and hold en_US
dc.subject Track and hold en_US
dc.subject Sampling error en_US
dc.subject Holding error en_US
dc.subject Channel charge injection en_US
dc.title A Novel Bootstrapped CMOS Switch with Minimized Sampling and Holding Error Using Sampling Window Error Analysis en_US
dc.type Article en_US


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