4.36 fJ/Conversion-step Ultralow-power 16-bit Successive Approximation Register Capacitance-to-digital Converter in 0.18 µm CMOS Process
In this paper, we present an ultralow-power 16-bit successive approximation register (SAR) capacitance-to-digital converter (CDC) for capacitive sensors. To obtain ultralow power consumption, the CDC is designed using 0.7 V input voltage. Furthermore, the CDC employs a SAR algorithm to obtain low po...
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Veröffentlicht in: | Sensors and materials 2019-01, Vol.31 (5(1)), p.1535 |
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Sprache: | eng |
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Zusammenfassung: | In this paper, we present an ultralow-power 16-bit successive approximation register (SAR) capacitance-to-digital converter (CDC) for capacitive sensors. To obtain ultralow power consumption, the CDC is designed using 0.7 V input voltage. Furthermore, the CDC employs a SAR algorithm to obtain low power consumption and a simplified structure. The proposed circuit uses a capacitive sensing amplifier (CSA) and a dynamic latch comparator to achieve parasitic capacitance-insensitive operation and energy efficiency. The CSA adopts a correlated double sampling (CDS) technique to reduce flicker (1/f) noise to achieve low-noise characteristics. The SAR algorithm is implemented in the dual operating mode, using an 8-bit coarse programmable capacitor array in the capacitance domain and an 8-bit R-2R digital-toanalog converter (DAC) in the charge domain. The R-2R DAC determines the lower 8-bit, and the remaining upper 8-bit is determined by the CDAC. To obtain ultralow power consumption, the minimum resistor of the R-2R DAC is 1.5 MΩ. The proposed CDC achieves a wide input capacitance range of 12.6 pF and a high resolution of 0.191 fF in simulation. The CDC is fabricated in the 0.18 μm 1P6M CMOS process with an active area of 0.63 mm2 . The total power consumption of the CDC is 0.254 µW with a 0.7 V supply in simulation. The SAR CDC achieves a simulated 16-bit resolution within a conversion time of 1.125 ms and an energyefficiency figure-of-merit (FoM) of 4.36 fJ/conversion step. |
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ISSN: | 0914-4935 |
DOI: | 10.18494/SAM.2019.2273 |