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A Design of 8 fJ/Conversion-Step 10-bit 8MS/s Low Power Asynchronous SAR ADC for IEEE 802.15.1 IoT Sensor Based Applications

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Abstract
An energy efficient, low-power 10-bit asynchronous successive approximation register (SAR) analog-to-digital (ADC) converter with the sampling frequency of 8 MS/s is presented for IEEE 802.15.1 IoT sensor based applications. An improved common mode charge redistribution algorithm is proposed for binary weighted SAR ADC. The proposed method uses available common mode voltage (V-CM) level for SAR ADC conversion, and this method reduces the switching power by more than 12% without any additional DAC driver as compared to merged capacitor switching (MCS). Mathematical analysis of the proposed switching scheme results in the lower or equal power consumption for every digital code as compared to MCS. A two stage dynamic latched comparator with adaptive power control (APC) technique is used to optimize the overall efficiency. Furthermore, to minimize the digital part power consumption, a modified asynchronous SAR logic with digitally controlled delay cells is proposed. High efficiency with low power consumption makes it suitable for low power devices especially for IEEE 802.15.1 IoT sensor based applications. The proposed prototype is implemented using 1P6M 55 nm complementary metal-oxide-semiconductor (CMOS) technology. The measurement results that the proposed circuit achieves are 9.3 effective number of bits (ENOB) with signal-to-noise and distortion ratio (SNDR) of 58.05 dB at a sampling rate of 8 MS/s. The power consumption of SAR ADC is 45 mu W when operated at 1 V power supply.
Author(s)
Verma, DeekshaShehzad, KhuramKhan, DanialUl Ain, QuratKim, Sung JinLee, DongsooPu, YounggunLee, MinjaeHwang, Keum CheolYang, YoungooLee, Kang-Yoon
Issued Date
2020-05
Type
Article
DOI
10.1109/ACCESS.2020.2992750
URI
https://scholar.gist.ac.kr/handle/local/12174
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE ACCESS, v.8, pp.85869 - 85879
ISSN
2169-3536
Appears in Collections:
Department of Electrical Engineering and Computer Science > 1. Journal Articles
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