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Development of an Optimized Single-Slope Analog-to-Digital Converter Readout Circuit for Gas Sensing Systems

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This paper presents the design and implementation of a readout integrated circuit (ROIC) optimized for gas sensor applications. The proposed ROIC integrates essential components, including a ramp generator, digital DDR counter, comparator, and peripheral bias generation blocks, to ensure accurate signal processing. The ROIC achieves a power consumption of 1.31 mW and operates with a 1.2V input range, achieving a 62.5 kHz conversion rate and a performance of 9.41 bits effective number of bits (ENOB). Additionally, the figure of merit (FoM) of the system is measured at 30.81 pJ/step. The results indicate that the proposed ROIC provides a robust solution for high-precision gas sensing systems, demonstrating its potential to significantly enhance the performance of sensor-based applications, particularly in environments that require fast and accurate measurements. The chip, fabricated using TSMC 180nm CMOS technology, shows promise for real-world applications in industrial and environmental monitoring.

Abstract

This paper presents the design and implementation of a readout integrated circuit (ROIC) optimized for gas sensor applications. The proposed ROIC integrates essential components, including a ramp generator, digital DDR counter, comparator, and peripheral bias generation blocks, to ensure accurate signal processing. The ROIC achieves a power consumption of 1.31 mW and operates with a 1.2V input range, achieving a 62.5 kHz conversion rate and a performance of 9.41 bits effective number of bits (ENOB). Additionally, the figure of merit (FoM) of the system is measured at 30.81 pJ/step. The results indicate that the proposed ROIC provides a robust solution for high-precision gas sensing systems, demonstrating its potential to significantly enhance the performance of sensor-based applications, particularly in environments that require fast and accurate measurements. The chip, fabricated using TSMC 180nm CMOS technology, shows promise for real-world applications in industrial and environmental monitoring.

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