An Energy-Efficient Switching Scheme for Low-Power SAR ADC Design

2017 ◽  
Vol 27 (01) ◽  
pp. 1850015 ◽  
Author(s):  
Yuhua Liang ◽  
Zhangming Zhu

A novel energy-efficient switching scheme for successive approximation register (SAR) analog-to-digital converters (ADC) is proposed in this paper. The average switching energy of the proposed switching scheme can be reduced by 95.3%, compared with the [Formula: see text]-based scheme. Moreover, the linearity has been also improved significantly. Employing the proposed switching scheme, a 10-bit 100[Formula: see text]kS/s SAR ADC is designed in SMIC 0.18-[Formula: see text]m CMOS process. At a 0.6-V supply, the ADC consumes 43.7[Formula: see text]nW. Consequently, the figure-of-merit (FOM) is optimized to 0.58[Formula: see text]fJ/conversion-step.

2019 ◽  
Vol 28 (13) ◽  
pp. 1930010 ◽  
Author(s):  
Shubin Liu ◽  
Haolin Han ◽  
Ruixue Ding

A novel switching scheme for successive approximation register (SAR) analog-to-digital converter (ADC) is presented in this paper. Based on the asymmetric capacitor array and splitted MSB capacitor, the proposed scheme achieves 99.09% and 93.41% reductions in the average switching energy and capacitor area, respectively, over the conventional scheme. Moreover, the proposed SAR ADC obtains a moderate linearity performance with max(INL-RMS) less than 0.112 LSB, max(DNL-RMS) less than 0.160 LSB and consumes zero reset energy.


VLSI Design ◽  
2016 ◽  
Vol 2016 ◽  
pp. 1-6
Author(s):  
Xingyuan Tong ◽  
Tiantian Sun

Low-power analog-to-digital converter (ADC) is a crucial part of wearable or implantable bioelectronics. In order to reduce the power of successive-approximation-register (SAR) ADC, an improved energy-efficient capacitor switching scheme of SAR ADC is proposed for implantable bioelectronic applications. With sequence initialization, novel logic control, and capacitive subconversion, 97.6% switching energy is reduced compared to the traditional structure. Moreover, thanks to the top-plate sampling and capacitive subconversion, 87% input-capacitance reduction can be achieved over the conventional structure. A 10-bit SAR ADC with this proposed switching scheme is realized in 65 nm CMOS. With 1.514 KHz differential sinusoidal input signals sampled at 50 KS/s, the ADC achieves an SNDR of 61.4 dB and only consumes power of 450 nW. The area of this SAR ADC IP core is only 136 μm × 176 μm, making it also area-efficient and very suitable for biomedical electronics application.


2019 ◽  
Vol 28 (04) ◽  
pp. 1920002 ◽  
Author(s):  
Hao Wang ◽  
Wenming Xie ◽  
Zhixin Chen ◽  
Sijing Cai

A low-power capacitor-splitting switching algorithm for successive approximation register (SAR) and analog-to-digital converters (ADCs) is proposed. To reduce the total power consumption, it does not require reset energy, which accounts for a large proportion. Besides, energy-efficient one-side double-level switching technique is also utilized from the forth bit cycle. Thus, the proposed switching algorithm requires 26.54 CV[Formula: see text] total switching energy, 16.75% less over the tri-level one. Due to the capacitor-splitting structure, it also shows good linearity performance.


Author(s):  
Mrs. Lakshmidevi TR ◽  
Mr. K N Jeevan Reddy ◽  
Mr. Ashrith Rao ◽  
Mr. Dhanush Kashyap S ◽  
Ms. Chandini K

In recent years, we have come across a growing need for the design of low power, long battery life Successive Approximation Register (SAR) Analog-to-Digital Converters (ADC). ADCs are the major component of all the systems which need to process an analogue signal obtained from measuring real world parameters and hence they need to be efficient enough depending on the application and power constraint of the device. Speed is also an important parameter as it is used in many real time applications. The basic components of the SAR ADC can be implemented using circuits of various logics available for the logic gates, adders, comparators utilised in it. This paper presents the working of 4-bit successive approximation register analog-to-digital converters (SAR ADC) in three different logics namely, Complementary Metal Oxide Semiconductors (CMOS), Transmission Gates (TG), and Double Pass Transistors (DPL) logics, which were used in the basic components of each major block of the ADC. The aim of this paper here is to compare the various parameters such as area, power consumption and delay between the three different technologies chosen above. The SAR ADCs were implemented for this purpose in 90nm Technology using the Cadence Virtuoso Design Tool building schematics and layouts for the same and calculating the various parameters required for the above-mentioned comparison.


2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740051 ◽  
Author(s):  
Yunfeng Hu ◽  
Chao Xiong ◽  
Bin Li

A 10-bit successive approximation register (SAR) analog-to-digital converter (ADC) with an energy-efficient and area-efficient switching scheme was presented. By using C-2C dummy capacitor and an extra reference [Formula: see text] for the last capacitor, the proposed switching scheme achieves 97.65% switching energy saving, 87.2% capacitor area reduction and 47.06% switches reduction, compare to conventional switching scheme. The ADC was implemented in a 180 nm CMOS technology 1.8 V power supply, at sampling rate of 100 kS/s, the ADC achieves an SNDR of 57.84 dB and consumes 0.975 [Formula: see text], resulting in a figure-of-merit (FOM) of 15.3 fJ/conversion-step.


2014 ◽  
Vol 23 (05) ◽  
pp. 1450057
Author(s):  
SAHAR SARAFI ◽  
KHEYROLLAH HADIDI ◽  
EBRAHIM ABBASPOUR ◽  
ABU KHARI BIN AAIN ◽  
JAVAD ABBASZADEH

This paper presents an analog-to-digital converter (ADC), using pipelined successive approximation register (SAR) architecture. The structure which is a combination of SAR-ADC and pipelined ADC benefits from each of their advantages. A new synchronization method is proposed to improve the pipelined SAR-ADC's speed. The proposed method reduces the total conversion without limiting the ADC performance. To evaluate the proposed method a 10-bit 100 MS/s is designed in 0.5 μm CMOS process technology. According to the obtained simulation results, the designed ADC digitizes a 9-MHz input with 54.19 dB SNDR while consuming 57.3 mw from a 5-V supply.


2018 ◽  
Vol 27 (10) ◽  
pp. 1850161 ◽  
Author(s):  
Hao Wang ◽  
Lungui Zhong ◽  
Guocheng Zhang

A low-power capacitor-splitting digital-to-analogue converter (DAC) for successive approximation register (SAR) analogue-to-digital converters (ADCs) is proposed. During the first three bit cycles, with proper switching, there is no average switching power consumption. From the fourth bit cycle, one-side double-level switching scheme or the monotonic one is utilized based on the first two bits. When the first two bits are the same, one-side double-level switching scheme is chosen. Otherwise, the monotonic one is adopted. Thus, the proposed switching method only requires 5.27 CV[Formula: see text] average switching energy, 75.29% less compared to the Sanyal and Sun proposed one.


2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Chengying Chen ◽  
Liming Chen ◽  
Jun Yang

A mixed-signal programmable Time-Division Power-On-Reset (TD-POR) circuit based on 8-bit Successive Approximation Analog-to-Digital Converter (SAR ADC) for accurate control in low-power hearing-aid System on Chip (SoC) is presented in this paper. The end-of-converter (EOC) signal of SAR ADC is used as the mode-change signal so that the circuit can detect the battery voltage and volume voltage alternately. And the TD-POR circuit also has brown-out reset (BOR) detection capability. Through digital logic circuit, the POR, BOR threshold, and delay time can be adjusted according to the system requirement. The circuit is implemented in SMIC 0.13 μm 1P8M CMOS process. The measurement results show that, in 1 V power supply, the POR, BOR, and volume control function are accomplished. The detection resolution is the best among previous work. With 120 Hz input signal and 15 kHz clock, the ADC shows that Signal to Noise plus Distortion Ratio (SNDR) is 46.5 dB and Effective Number Of Bits (ENOB) is 7.43 bits. Total circuit power consumption is only 86 μw for low-power application.


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