An energy-efficient 1MSps 7µW 11.9fJ/conversion step 7pJ/sample 10-bit SAR ADC in 90nm
Taimur G. R. Kuntz, Cesar Ramos Rodrigues, Saeid Nooshabadi
Abstract
Taimur G. R. Kuntz, Cesar Ramos Rodrigues, Saeid Nooshabadi
Abstract
Current trends constantly increase the need for ultra-low power solutions for the embedded and portable hard ware. One circuit component required in wide range of devices is the analog-to-digital converter (ADC). In this paper we propose an extremely energy-efficient successive approximation register (SAR) ADC, in which we have overcome the limitations of conventional approaches through topological improvements. Further, advances include a novel bootstrapped track and hold (T/H) circuitry. Statistical simulations indicate an ADC with a figure of merit (FOM) of 11.9 fJ per conversion step, and an effective number of bits (ENOB) of 9.2, operating close to Nyquist frequency, sampling at 1 Msps. To put it into perspective, consuming only 7 pJ/sample, this ADC is able to work at its maximum speed for more than 40 years with the total energy of a single alkaline AA battery.
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Current trends constantly increase the need for ultra-low power solutions for the embedded and portable hard ware. One circuit component required in wide range of devices is the analog-to-digital converter (ADC). In this paper we propose an extremely energy-efficient successive approximation register (SAR) ADC, in which we have overcome the limitations of conventional approaches through topological improvements. Further, advances include a novel bootstrapped track and hold (T/H) circuitry. Statistical simulations indicate an ADC with a figure of merit (FOM) of 11.9 fJ per conversion step, and an effective number of bits (ENOB) of 9.2, operating close to Nyquist frequency, sampling at 1 Msps. To put it into perspective, consuming only 7 pJ/sample, this ADC is able to work at its maximum speed for more than 40 years with the total energy of a single alkaline AA battery.
Key concepts: Effective number of bits, Successive approximation ADC, Figure of merit, Nyquist–Shannon sampling theorem, Computer science, Electronic engineering, Energy (signal processing), Sampling (signal processing)