SAR ADC Architecture with Fully Passive Noise Shaping

A 10-bit 10MS/s low power consumption successive approximation register (SAR) analog-to-digital converter (ADC) using a straightforward capacitive digital-to-analog converter (DAC) is presented in this paper. In the proposed capacitive DAC, switching is always straightforward, and its value is half of the peak-to-peak voltage in each step. Also the most significant bit (MSB) is decided without any switching power consumption. The application of the straightforward switching causes lower power consumption in the structure. The input is sampled at the bottom plate of the capacitor digital-to-analog converter (CDAC) as it provides better linearity and a higher effective number of bits. The comparator applies adaptive power control, which reduces the overall power consumption. The differential prototype SAR ADC was implemented with 0.18μm complementary metal-oxide semiconductor (CMOS) technology and achieves an effective number of bits (ENOB) of 9.49 at a sampling frequency of 10MS/s. The structure consumes 0.522mW from a 1.8V supply. Signal to noise-plus-distortion ratio (SNDR) and spurious free dynamic range (SFDR) are 59.5 dB and 67.1 dB and the figure of merit (FOM) is 95 fJ/conversion-step.

A successive approximation register (SAR) analog-to-digital converter (ADC) design in 0.18-um CMOS process is presented for wireless power transfer applications. By applying body effect reduction T/H circuit that improved ENOB of the ADC. This proposed ADC uses asynchronous control logic without off-chip frequency clock. The measured consumption of 1.53 mW at input voltage of 1.8 V, sampling rate of 40 MS/s, the proposed design realizes a spurious-free dynamic range (SFDR) of 62.16 dB, an effective number of bits (ENOB) of 8.93 bits, a signal-to-noise and distortion ratio (SNDR) of 55.52 dB, integral nonlinearity (INL) of 1.12 LSB and differential nonlinearity (DNL) of 0.63 LSB. The proposed SAR ADC is build-in internet of thing (IoT) system to meet low power requirement for wireless power receiver applications.

In this work, a switched capacitor-based successive approximation register (SAR) analog-to-digital converter (ADC) using a passive reference charge sharing and charge accumulation is proposed. For N-bit resolution, the fully differential version of this architecture needs only 6 capacitors, which is a significant improvement over conventional binary-weighted SAR ADC. The proposed SAR ADC is first modeled in MATLAB, and the effect of practical operational transconductance amplifier limitations such as finite values of gain, unity-gain bandwidth and slew rate on ADC characteristics is verified through behavioral simulations. To validate the proposed ADC performance, an 11-bit 2 kS/s SAR ADC is designed and laid out in UMC 180 nm 1P6M CMOS technology with a supply voltage of 1.8 V. The total design occupies an area of $$568\,\upmu \hbox {m} \times 298\,\upmu \hbox {m}$$ and consumes a power as less as $$0.28\,\upmu \hbox {W}$$ . It is found that the integral nonlinearity and differential nonlinearity of this ADC are in the range + 0.35/− 0.84 least significant bit (LSB) and + 0.1/− 0.6 LSB, respectively. In addition, dynamic performance test shows that the proposed SAR ADC offers an effective number of bits of 10.14 and a Walden figure of merit (FoMW) of 0.12 pJ/conv-step.

The readout of silicon strip sensors in the upgraded Tracker System of Large Hadron Collider beauty (LHCb) experiment will require a novel complex Application Specific Integrated Circuit (ASIC). The ASIC will extract and digitise analogue signal from the sensor and subsequently will perform digital processing and serial data transmission.One of the key processing blocks, placed in each channel, will be an Analogue to Digital Converter (ADC). A prototype of fast, low-power 6-bit Successive Approximation Register (SAR) ADC was designed, fabricated and tested. The measurements of ADC prototypes confirmed simulation results showing excellent overall performance. In particular, very good resolution with Effective Number Of Bits (ENOB) 5.85 was obtained together with very low power consumption of 0.35 mW at 40 MS/s sampling rate. The results of the performed static and dynamic measurements confirm excellent ADC operation for higher sampling rates up to 80 MS/s.

This paper presents a new single channel 6-bit 900MS/s asynchronous binary search analog to digital converter (ADC). The proposed ADC works based on binary search principle like the Successive Approximation Register (SAR) ADC. Compared to SAR ADC the speed is improved significantly adopting two design techniques. By implementing the binary search in an open loop configuration using asynchronous clock generation the delay in the feedback path of the SAR ADC is relaxed significantly. Moreover in the proposed asynchronous binary search ADC two bits are resolved in each stage of the ADC. By resolving two bits in each stage the proposed ADC can operate twice as fast as conventional asynchronous binary search ADCs. The proposed single channel 6-bit 900MS/s ADC was designed in 90nm CMOS process. Simulation results show that the proposed ADC reaches a peak SNDR of 35.82dB consuming 4.33mW from a single 1.2V power supply. It achieves of 95.3fJ/conv.code FoM.

This paper presents a 9-bit subrange analog-to-digital converter (ADC) consisting of a 3.5-bit flash coarse ADC, a 6-bit successive-approximation-register (SAR) fine ADC, and a differential segmented capacitive digital-to-analog converter (DAC). The flash ADC controls the thermometer coarse capacitors of the DAC and the SAR ADC controls the binary fine ones. Both theoretical analysis and behavioral simulations show that the differential non-linearity (DNL) of a SAR ADC with a segmented DAC is better than that of a binary ADC. The merged switching of the coarse capacitors significantly enhances overall operation speed. At 150 MS/s, the ADC consumes 1.53 mW from a 1.2-V supply. The effective number of bits (ENOB) is 8.69 bits and the effective resolution bandwidth (ERBW) is 100 MHz. With a 1.3-V supply voltage, the sampling rate is 200 MS/s with 2.2-mW power consumption. The ENOB is 8.66 bits and the ERBW is 100 MHz. The FOMs at 1.3 V and 200 MS/s, 1.2 V and 150 MS/s and 1 V and 100 MS/s are 27.2, 24.7, and 17.7 fJ/conversion-step, respectively.

Energy consumption is very critical for environmental monitoring using wireless sensor networks, thus, every block must be designed to consume low energy to be within the limited energy budget of a sensor node. In the context of improving the power efficiency of the analog-to-digital converter (ADC), for this specific application, successive approximation register (SAR) ADC is the best architecture to use. In addition, coarse-fine technique has been proven to reduce power consumption in SAR ADCs. However, design considerations involving the coarse ADC bit allocation are important but not discussed in literature. These includes the following: trade off between resolution of the coarse stage and the accuracy of the ADC; trade off between the energy consumption, accuracy and speed of the comparator block; and trade off between energy consumption and accuracy of different switching schemes for the digital-to-analog (DAC) block. This project produced models of these trade-offs, provided a methodology in designing coarse-fine SAR ADCs, implemented two ADCs in the schematic level: the one with the lowest energy consumption; and the one with the highest Schreier figure of merit (FoMs), and implemented the ADC with the lowest energy consumption in the layout level. Optimization using the MATLAB model in the DAC lead to k = 4 which gives the lowest power and k = 3 which gives the highest Schreier FoM. Schematic implementation at 50kSps of k = 4 and k = 3 gave: 2.201pJ and 2.3617pJ switching energy; 9.2 and 9.3 ENOB; and 170.96 dB and 170.72 dB Schreier FoM, respectively. This project was also able to match the trends of the models to the simulations although there are deviations of values. However, ENOBs fall within the target range of ENOBs.

This paper presents a 12-bit successive approximation register (SAR) analog-to-digital converter (ADC) that uses a digital-to-analog converter (DAC) configurable window switching technique. By reusing the capacitors in the DAC, the proposed window switching scheme yields window boundaries to determine whether the input is located within the window, and thus avoid unnecessary capacitor switching. The proposed window SAR ADC improves the conversion efficiency and ADC linearity. A qualitative analysis of prior window switching schemes is presented to elaborate for various applications. A low-input capacitance of 1 pF was adopted to relax the input and reference buffers. A prototype ADC was implemented in 180-nm CMOS occupying an active area of 0.1 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . At 20 MS/s, it consumes a total power of 1.22 mW from a 1.5-V supply. The measured peak signal-to-noise and distortion ratio and spurious-free dynamic range were 61.7 and 79 dB, respectively. At the Nyquist rate, the measured effective number of bits (ENOB) was 9.53, equivalent to a figure-of-merit (FOM) of 83 fJ/conversion-step. In low-power mode (100 kS/s), it consumed a total power of 1.5μW from a 0.7-V supply. At the Nyquist rate, the measured ENOB was 9.82, equivalent to a FOM of 16.6 fJ/conversion step.

We propose a hybrid Analog to Digital Converter (ADC) combined with the first-stage as a first-order feedforward incremental (FF I-) ADC and the second-stage as a SAR (Successive Approximation Register) ADC as high-precision and high-speed ADCs. As a result of simulation, the proposed hybrid ADC correctly converts data even if capacitance in FF path of the first-order I-ADC has 10% error.

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.

This paper presents a resolution-reconfigurable discrete-time dynamic zoom analog-to-digital converter (ADC) with a 20-kHz bandwidth. It employs a coarse 6-bit successive approximation register (SAR) ADC that dynamically updates the references for the post-stage single-bit second-order delta-sigma modulator to obtain a higher resolution with lower power. The sampling rate of the proposed ADC can be configured to be 1.6, 3.2, 6.4 and 10-MS/s such that four resolution modes, including 12, 14, 16 and 18-bit, can be provided accordingly. Note that pole locations of the noise transfer function (NTF) vary with different OSR's, and noise-shaping effect, together with the power efficiency, can be degraded. To solve this issue, the pole-optimization technique is proposed in this paper. In this way can the pole locations be reconfigured according to the specific OSR. Additionally, the bandwidths of the operational amplifiers are also modulated in different oversampling ratio (OSR) scenarios to further improve the energy efficiency. Fabricated in a 0.18- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS process, the prototype occupies 1.01 mm2. On condition of an OSR of 250, the proposed ADC achieves a signal-to-noise-and-distortion-ratio (SNDR) of 102.8 dB, while dissipating 1.3 mW.

We propose a new approach in reducing the power consumption of the Successive approximation register Analog to Digital Converter (SAR-ADC) by changing the convergence algorithm of the Digital to Analog converter (DAC) input of the SAR-ADC. Different search algorithms such as binary search tree, moving binary search tree (BST), least significant bit shifter (LSB), adaptive algorithm and split-register moving BST algorithm are designed and analyzed for faster convergence of the DAC input. In this paper, we design a 0.8 GS/s, 8 bit (Effective number of bits (ENOB) − 7.42), 8.352 mW SAR ADC with a proposed moving BST algorithm in 65nm CMOS which ranks amongst the current state of the art ADCs with a FOM 65.25fJ/step.

A resolution-independent successive approximation register (SAR) analog to digital converter (ADC) architecture based on a switched capacitor integrator is presented. Digital to analog converter (DAC) architecture uses charge sharing and integration principle for reference generation, using only six unit capacitors for a fully differential version. A 10-bit, 1.8-V and 0.9-MS/s SAR ADC is designed in 180-nm CMOS process. ADC architecture is area efficient when compared with SAR ADC with a binary weighted capacitor array DAC. The architecture is largely parasitic insensitive, also programmable resolution is possible with no hardware overhead.

This paper presents a power-efficient complementary metal-oxide-semiconductor (CMOS) neural signal-recording read-out circuit for multichannel neuromodulation implants. The system includes a neural amplifier and a successive approximation register analog-to-digital converter (SAR-ADC) for recording and digitizing neural signal data to transmit to a remote receiver. The synthetic neural signal is generated using a LabVIEW myDAQ device and processed through a LabVIEW GUI. The read-out circuit is designed and fabricated in the standard 0.5 μμm CMOS process. The proposed amplifier uses a fully differential two-stage topology with a reconfigurable capacitive-resistive feedback network. The amplifier achieves 49.26 dB and 60.53 dB gain within the frequency bandwidth of 0.57–301 Hz and 0.27–12.9 kHz to record the local field potentials (LFPs) and the action potentials (APs), respectively. The amplifier maintains a noise–power tradeoff by reducing the noise efficiency factor (NEF) to 2.53. The capacitors are manually laid out using the common-centroid placement technique, which increases the linearity of the ADC. The SAR-ADC achieves a signal-to-noise ratio (SNR) of 45.8 dB, with a resolution of 8 bits. The ADC exhibits an effective number of bits of 7.32 at a low sampling rate of 10 ksamples/s. The total power consumption of the chip is 26.02 μμW, which makes it highly suitable for a multi-channel neural signal recording system.

This paper presents a band-pass noise-shaping (NS) successive-approximation-register (SAR) analog-to-digital converter (ADC) with a second-order modulator which is comprised of a fully passive switched-capacitor (SC) filter and a gain-boosted dynamic amplifier. It employs the error-feedback (EF) structure in a simple method to implement the complicated noise transfer function (NTF) zeros, which enhances the noise-shaping capability by minimally modifying a standard SAR ADC. Designed in 28 nm CMOS process, the prototype of proposed NS-SAR ADC achieves 76.84 dB signal-to-noise and distortion ratio (SNDR) with the bandwidth between 20 and 40 MHz and the FoMw is only 2.24 fJ/step at the oversampling ratio (OSR) of 5.