scholarly journals A Pipelined Noise-Shaping SAR ADC Using Ring Amplifier

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1968
Author(s):  
Juyong Lee ◽  
Seungjun Lee ◽  
Kihyun Kim ◽  
Hyungil Chae

In this study, a pipelined noise-shaping successive-approximation register analog-to-digital converter (PLNS-SAR ADC) structure was proposed to achieve high resolution and to be free from comparator design requirements. The inter-stage amplifier and integrator of the PLNS-SAR ADC were implemented through a ring amplifier with high gain and speed. The ring amplifier was designed to improve power efficiency and be tolerant to process–voltage–temperature (PVT) variation, and uses a single loop common-mode feedback (CMFB) circuit. By processing residual signals with a single ring amplifier, power efficiency can be maximized, and a low-power system with 30% lower power consumption than that of a conventional PLNS-SAR ADC is implemented. With a high-gain ring amplifier, noise leakage is greatly suppressed, and a structure can be implemented that is tolerant of mismatches between the analog loop and digital correction filters. The measured signal to noise distortion ratio (SNDR) is 70 dB for a 5.15 MHz bandwidth (BW) at a 72 MS/s sampling rate (Fs) with an oversampling ratio (OSR) of 7, and the power consumption is 2.4 mW. The (= SNDR + BW/Power) is 163.5 dB. The proposed structure in this study can achieve high resolution and wide BW with good power efficiency, without a filter calibration process, through the use of a ring amplifier in the PLNS-SAR ADC.

2020 ◽  
Vol 33 (1) ◽  
pp. 15-26
Author(s):  
Dmitry Osipov ◽  
Aleksandr Gusev ◽  
Vitaly Shumikhin ◽  
Steffen Paul

The successive approximation register (SAR) analog-to-digital converter (ADC) is currently the most popular type of ADC architecture, owing to its power efficiency. They are also used in multichannel systems, where power efficiency is of high importance because of the large number of simultaneously working channels. However, the SAR ADC architecture is not the most area efficient. In SAR ADCs, the binary weighted capacitive digital-to-analog converter (DAC) is used, which means that one additional bit of resolution costs double the increase of area. Oversampling and noise shaping are methods that allow an increase in resolution without an increase of area. In this paper we present the new SAR ADC architectures with a noise shaping. A first-order noise transfer function (NTF) with zero located nearly at one can be achieved. We propose two modifications of the architecture: with zero-only NTF and with the NTF with additional pole. The additional pole theoretically increases the efficiency of noise shaping to further 3 dB. The architectures were applied to the design of SAR ADCs in a 65 nm complementary metal-oxide semiconductor (CMOS) with OSR equal to 10. A 6-bit capacitive DAC was used. The proposed architectures provide nearly 4 additional bits in ENOB. The equalent input bandwitdth is equal to 200 kHz with the sampling rate equal to 4 MS/s.


Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1100
Author(s):  
Deeksha Verma ◽  
Khuram Shehzad ◽  
Danial Khan ◽  
Sung Jin Kim ◽  
Young Gun Pu ◽  
...  

A design of low-power 10-bit 1 MS/s asynchronous successive approximation register analog-to-digital converter (SAR ADC) is presented in this paper. To improve the linearity of the digital-to-analog converter (DAC) and energy efficiency, a common mode-based monotonic charge recovery (CMMC) switching technique is proposed. The proposed switching technique consumes only 63.75 CVREF2 switching energy, which is far less as compared to the conventional switching technique without dividing or adding additional switches. In addition, bootstrap switching is implemented to ensure enhanced linearity. To reduce the power consumption from the comparator, a dynamic latch comparator with a self-comparator clock generation circuit is implemented. The proposed prototype of the SAR ADC is implemented in a 55 nm CMOS (complementary metal-oxide-semiconductor) process. The proposed architecture achieves a figure of merit (FOM) of 17.4 fJ/conversion, signal-to-noise distortion ratio (SNDR) of 60.39 dB, and an effective number of bits (ENOB) of 9.74 bits with a sampling rate of 1 MS/s at measurement levels. The implemented SAR ADC consumes 14.8 µW power at 1 V power supply.


Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 137 ◽  
Author(s):  
Bo Gao ◽  
Xin Li ◽  
Jie Sun ◽  
Jianhui Wu

The features of high-resolution and high-bandwidth are in an increasing demand considering to the wide range application fields based on high performance data converters. In this paper, a modeling of high-resolution hybrid analog-to-digital converter (ADC) is proposed to meet those requirements, and a 16-bit two-step pipelined successive approximation register (SAR) analog-to-digital converter (ADC) with first-order continuous-time incremental sigma-delta modulator (ISDM) assisted is presented to verify this modeling. The combination of high-bandwidth two-step pipelined-SAR ADC with low noise ISDM and background comparator offset calibration can achieve higher signal-to-noise ratio (SNR) without sacrificing the speed and plenty of hardware. The usage of a sub-ranging scheme consists of a coarse SAR ADC followed by an fine ISDM, can not only provide better suppression of the noise added in 2nd stage during conversion but also alleviate the demands of comparator’s resolution in both stages for a given power budget, compared with a conventional Pipelined-SAR ADC. At 1.2 V/1.8 V supply, 33.3 MS/s and 16 MHz input sinusoidal signal in the 40 nm complementary metal oxide semiconductor (CMOS) process, the post-layout simulation results show that the proposed hybrid ADC achieves a signal-to-noise distortion ratio (SNDR) and a spurious free dynamic range (SFDR) of 86.3 dB and 102.5 dBc respectively with a total power consumption of 19.2 mW.


2018 ◽  
Vol 27 (14) ◽  
pp. 1850230 ◽  
Author(s):  
Samaneh Babayan-Mashhadi ◽  
Mona Jahangiri-Khah

As power consumption is one of the major issues in biomedical implantable devices, in this paper, a novel quantization method is proposed for successive approximation register (SAR) analog-to-digital converters (ADCs) which can save 80% power consumption in contrast to conventional structure for electroencephalogram (EEG) signal recording systems. According to the characteristics of neural signals, the principle of the proposed power saving technique was inspired such that only the difference between current input sample and the previous one is quantized, using a power efficient SAR ADC with fewer resolutions. To verify the proposed quantization scheme, the ADC is systematically modeled in Matlab and designed and simulated in circuit level using 0.18[Formula: see text][Formula: see text]m CMOS technology. When applied to neural signal acquisition, spice simulations show that at sampling rate of 25[Formula: see text]kS/s, the proposed 8-bit ADC consumes 260[Formula: see text]nW of power from 1.8[Formula: see text]V supply voltage while achieving 7.1 effective number of bits.


The design objective is to implement a Low power, High speed and High resolution Flash ADC with increased sampling rate. To make this possible the blocks of ADC are analyzed. The resistive ladder, comparator block, encoder block are the major modules of flash ADC. Firstly, the comparator block is designed so that it consumes low power. A NMOS latch based, PMOS LATCH based and a Strong ARM Latch based comparators were designed separately. A comparative analysis is made with the comparator designs. Comparators in the design is reduced to half by using time domain interpolation. Then a reference subtraction block is designed to generate the subtraction value of voltages easily and its given as input to comparator. Then a more efficient and low power consuming fat tree encoder is designed. Once all the blocks were ready, a 8 bit Flash Analog to Digital Converter was designed using 90nm CMOS technology and all the parameters such as sampling rate, power consumption, resolution were obtained and compared with other works.


2015 ◽  
Vol 643 ◽  
pp. 93-100
Author(s):  
Yukiko Arai ◽  
Yu Liu ◽  
Haruo Kobayashi ◽  
Tatsuji Matsuura ◽  
Osamu Kobayashi

This paper presents an ADC architecture comprising a pipelined cyclic ADC and continuous-time delta-sigma ADC; it provides high resolution at medium speed, with small power requirements. It is also reconfigurable for different combinations of speed, precision, and power consumption. The cyclic ADC produces a residue after the final cycle, and the following delta-sigma ADC converts it to a digital value (the residue is then noise-shaped). The ADC output combines the digital outputs of the cyclic ADC and the delta-sigma ADC so as to achieve high resolution. The delta-sigma ADC can be implemented simply with continuous-time analog circuitry. We describe the overall ADC architecture and operation, show simulation results, as well as features such as its potential for reconfiguration and one of ADC architecture candidates with good tradeoff for high resolution, medium speed and small power.


2020 ◽  
Vol 15 (4) ◽  
pp. 478-486
Author(s):  
Sheng-Biao An ◽  
Li-Xin Zhao ◽  
Shi-Cong Yang ◽  
Tao An ◽  
Rui-Xia Yang

This paper presents a charge redistributed successive approximation register analog-to-digital converter (SAR ADC). Compared with the traditional Digital-Analog Convertor (DAC), the power consumption of the DAC scheme is reduced by 90%, the area is reduced by 60%. The test chip fabricated in 180 nm Complementary Metal Oxide Semiconductor (CMOS) occupied an active area of 0.12 mm 2 . At 10 MS/s, a signal-to-noise and distortion ratio (SNDR) of 57.70 dB and a spurious-free dynamic range (SFDR) of 55.63 dB are measured with 1.68 Vpp differential-mode input signal. The total power consumption is 690 μW corresponding to 67 fJ/conversion step figure of merit.


2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Yung-Hui Chung ◽  
Chia-Wei Yen ◽  
Cheng-Hsun Tsai

AbstractThis chapter presents an energy-efficient 12-bit 1-MS/s successive approximation register analog-to-digital converter (ADC) for sensor applications. A programmable dynamic comparator is proposed to suppress static current and maintain good linearity. A hybrid charge redistribution digital-to-analog converter is proposed to decrease the total capacitance, which would reduce the power consumption of the input and reference buffers. In the proposed ADC, its total input capacitance is only 700 fF, which greatly reduces the total power consumption of the analog frontend circuits. The 12-bit ADC is fabricated using 0.18-μm complementary metal-oxidesemiconductor technology, and it consumes only 26 μW from a 1 V supply at 1-MS/s. The measured signal-to-noise-and-distortion ratio (SNDR) and spurious-free dynamic range (SFDR) are 60.1 and 72.6 dB, respectively. The measured effective number of bits (ENOB) for a 100 kHz input frequency is 9.7 bits. At the Nyquist input frequency, the measured SNDR and SFDR are 59.7 and 71 dB, respectively. The ENOB is maintained at 9.6 bits and the figure-of-merit is 33.5 fJ/conversion-step.


Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 421
Author(s):  
Min-Jae Seo

This work presents a 12 bit 200 MS/s dual-residue pipelined successive approximation registers (SAR) analog-to-digital converter (ADC) with a single open-loop residue amplifier (RA). By using the inherent characteristics of the SAR conversion scheme, the proposed ADC sequentially generates two residue levels from the single RA, which eliminates the need for inter-stage gain-matching calibration. To convert the sequentially generated the two residues, a capacitive interpolating SAR ADC (I-SAR ADC) is also proposed. The I-SAR ADC is very compact because it consists of the one comparator, a CDAC, and control logic like a conventional SAR ADC. In addition, the I-SAR ADC needs no static power dissipation for the residue interpolation. A prototype ADC fabricated in a 40 nm CMOS technology occupies an active area of 0.026 mm2. At a 200 MS/s sampling-rate with the Nyquist input, the ADC achieves an SNDR (Signal-to-Noise distortion ratio) of 62.1 dB and 67.1 dB SFDR (Spurious-Free Dynamic Range), respectively. The total power consumed is 3.9 mW under a 0.9 V supply. Without any inter-stage mismatch calibration, the ADC achieve Walden Figure-of-Merit (FoM) of 19.0 fJ/conversion-step.


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