Design techniques for low-power SAR ADCs in nano-scale CMOS technologies

This thesis presents low power design techniques for successive approximation register (SAR) analog-to-digital converters (ADCs) in nano-scale CMOS technologies. Low power SAR ADCs face two major challenges especially at high resolutions: (1) increased comparator power to suppress the noise, and (2) increased DAC switching energy due to the large DAC size. To improve the comparator’s power efficiency, a statistical estimation based comparator noise reduction technique is presented. It allows a low power and noisy comparator to achieve high signal-to-noise ratio (SNR) by estimating the conversion residue. A first prototype ADC in 65nm CMOS has been developed to validate the proposed noise reduction technique. It achieves 4.5 fJ/conv-step Walden figure of merit and 64.5 dB signal-to-noise and distortion ratio (SNDR). In addition, a bidirectional single-side switching technique is developed to reduce the DAC switching power. It can reduce the DAC switching power and the total number of unit capacitors by 86% and 75%, respectively. A second prototype ADC with the proposed switching technique is designed and fabricated in 180nm CMOS technology. It achieves an SNDR of 63.4 dB and consumes only 24 Wat 1MS/s, leading to aWalden figure of merit of 19.9 fJ/conv-step. This thesis also presents an improved loop-unrolled SAR ADC, which works at high frequency with reduced SAR logic power and delay. It employs the bidirectional single-side switching technique to reduce the comparator common-mode voltage variation. In addition, it uses a Vcm-adaptive offset calibration technique which can accurately calibrate comparator’s offset at its operating Vcm. A prototype ADC designed in 40nm CMOS achieves 35 dB at 700 MS/s sampling rate and consumes only 0.95 mW, leading to a Walden figure of merit of 30 fJ/conv-step.Electrical and Computer Engineerin

Design Techniques for High-Performance SAR A/D Converters

The design of electronics needs to account for the non-ideal characteristics of the device technologies used to realize practical circuits. This is particularly important in mixed analog-digital design since the best device technologies are very different for digital compared to analog circuits. One solution for this problem is to use a calibration correction approach to remove the errors introduced by devices, but this adds complexity and power dissipation, as well as reducing operation speed, and so must be optimised. This thesis addresses such an approach to improve the performance of certain types of analog-to-digital converter (ADC) used in advanced telecommunications, where speed, accuracy and power dissipation currently limit applications. The thesis specifically focuses on the design of compensation circuits for use in successive approximation register (SAR) ADCs. ADCs are crucial building blocks in communication systems, in general, and for mobile networks, in particular. The recently launched fifth generation of mobile networks (5G) has required new ADC circuit techniques to meet the higher speed and lower power dissipation requirements for 5G technology. The SAR has become one of the most favoured architectures for designing high-performance ADCs, but the successive nature of the circuit operation makes it difficult to reach ∼GS/s sampling rates at reasonable power consumption. Here, two calibration techniques for high-performance SAR ADCs are presented. The first uses an on-chip stochastic-based mismatch calibration technique that is able to accurately compute and compensate for the mismatch of a capacitive DAC in a SAR ADC. The stochastic nature of the proposed calibration method enables determination of the mismatch of the CAPDAC with a resolution much better than that of the DAC. This allows the unit capacitor to scale down to as low as 280aF for a 9-bit DAC. Since the CAP-DAC causes a large part of the overall dynamic power consumption and directly determines both the sizes of the driving and sampling switches and the size of the input capacitive load of the ADC and the kT/C noise power, a small CAP-DAC helps the power efficiency. To validate the proposed calibration idea, a 10-bit asynchronous SAR ADC was fabricated in 28-nm CMOS. Measurement results show that the proposed stochastic calibration improves the ADC’s SFDR and SNDR by 14.9 dB, 11.5 dB, respectively. After calibration, the fabricated SAR ADC achieves an ENOB of 9.14 bit at a sampling rate of 85 MS/s, resulting in a Walden FoM of 10.9 fJ/c-s. The second calibration technique is a timing-skew calibration for a time-interleaved (TI) SAR ADC that calibrates/computes the inter-channel timing and offset mismatch simultaneously. Simulation results show the effectiveness of this calibration method. When used together, the proposed mismatch calibration technique and the timing-skew calibration technique enables a TI SAR ADC to be designed that can achieve a sampling rate of ∼GS/s with 10-bit resolution and a power consumption as low as ∼10mW; specifications that satisfy the requirements of 5G technology

Design and implementation of Radix-3/Radix-2 based novel hybrid SAR ADC in scaled CMOS technologies

This thesis focuses on low power and high speed design techniques for successive approximation register (SAR) analog-to-digital converters (ADCs) in nanoscale CMOS technologies. SAR ADCs’ speed is limited by the number of bits of resolution. An N-bit conventional SAR ADC takes N conversion cycles. To speed up the conversion process, we introduce a radix-3 SAR ADC which can compute 1:6 bits per cycle. To our knowledge, it is the first fully programmable and efficiently hardware controlled radix-3 SAR ADC. We had to use two comparators per cycle due to ADC architecture and we proposed a simple calibration scheme for the comparators. Also, as the architecture of the DAC array is completely different from the architecture of conventional radix-2 SAR ADC’s DAC arrays, we came up with an algorithm for calibration of capacitors of the DAC. Low power SAR ADCs face two major challenges especially at high resolutions: (1) increased comparator power to suppress the noise, and (2) increased DAC switching energy due to the large DAC size. Due to our proposed architecture,the radix-3 SAR ADC uses two comparators per cycle and two differential DACs. To improve the comparator’s power efficiency, an efficient and low cost calibration technique has been introduced. It allows a low power and noisy comparator to achieve high signal-to-noise ratio (SNR). To improve the DAC switching energy, we introduced a radix-3/radix-2 based novel hybrid SAR ADC. We use two single ended DACs for radix-3 SAR ADC and these two single ended DACs can be used as one differential DAC for radix-2 SAR ADC. So, overall, we only have a single DAC as conventional radix- 2 SAR ADC. In addition, a monotonic switching technique is adopted for radix-2 search to reduce the DAC capacitor size and hence, to reduce switching power. It can reduce the total number of unit capacitors by four times. Our proposed hybrid SAR ADC can achieve less DAC energy compared to radix-3 and radix-2 SAR ADCs. Also, to utilize technology scaling, we used the minimum capacitor size allowed by thermal noise limitations. To achieve high resolution, we introduced calibration algorithm for the DAC array. As mentioned earlier, the radix-3 SAR ADC offers higher power than conventional radix-2 SAR ADC because of simultaneous use of two comparators. In the proposed hybrid SAR ADC, we will be using radix-3 search for first few MSB bits. So, the resolution required for radix-3 comparators are much larger than the LSB value of 10-bit ADC. By implementing calibration of comparators, we can use low power, high input referred offset and high speed comparators for radix-3 search. Radix-2 search will be used for rest of the bits and the resolution of the radix-2 comparator has to be less than the required LSB value. So, a high power, low input referred offset and high speed comparator is used for radix-2 search. Also, we introduced clock gating for comparators. So, radix-3 comparators will not toggle during radix-2 search and the radix-2 comparators will be inactive during radix-3 search. By using the aforementioned techniques, the overall comparator power is definitely less than a radix-3 SAR ADC and comparable to a conventional radix-2 SAR ADC. A prototype radix-3/radix-2 based hybrid SAR ADC with the proposed technique is designed and fabricated in 40nm CMOS technology. It achieves an SNDR of 56.9 dB and consumes only 0.38 mW power at 30MS/s, leading to a Walden figure of merit of 21.5 fJ/conv-step.Electrical and Computer Engineerin

A Low-Power, Reconfigurable, Pipelined ADC with Automatic Adaptation for Implantable Bioimpedance Applications

Biomedical monitoring systems that observe various physiological parameters or electrochemical reactions typically cannot expect signals with fixed amplitude or frequency as signal properties can vary greatly even among similar biosignals. Furthermore, advancements in biomedical research have resulted in more elaborate biosignal monitoring schemes which allow the continuous acquisition of important patient information. Conventional ADCs with a fixed resolution and sampling rate are not able to adapt to signals with a wide range of variation. As a result, reconfigurable analog-to-digital converters (ADC) have become increasingly more attractive for implantable biosensor systems. These converters are able to change their operable resolution, sampling rate, or both in order convert changing signals with increased power efficiency. Traditionally, biomedical sensing applications were limited to low frequencies. Therefore, much of the research on ADCs for biomedical applications focused on minimizing power consumption with smaller bias currents resulting in low sampling rates. However, recently bioimpedance monitoring has become more popular because of its healthcare possibilities. Bioimpedance monitoring involves injecting an AC current into a biosample and measuring the corresponding voltage drop. The frequency of the injected current greatly affects the amplitude and phase of the voltage drop as biological tissue is comprised of resistive and capacitive elements. For this reason, a full spectrum of measurements from 100 Hz to 10-100 MHz is required to gain a full understanding of the impedance. For this type of implantable biomedical application, the typical low power, low sampling rate analog-to-digital converter is insufficient. A different optimization of power and performance must be achieved. Since SAR ADC power consumption scales heavily with sampling rate, the converters that sample fast enough to be attractive for bioimpedance monitoring do not have a figure-of-merit that is comparable to the slower converters. Therefore, an auto-adapting, reconfigurable pipelined analog-to-digital converter is proposed. The converter can operate with either 8 or 10 bits of resolution and with a sampling rate of 0.1 or 20 MS/s. Additionally, the resolution and sampling rate are automatically determined by the converter itself based on the input signal. This way, power efficiency is increased for input signals of varying frequency and amplitude

An 8-Bit Analog-to-Digital Converter for Battery Operated Wireless Sensor Nodes

Wireless sensing networks (WSNs) collect analog information transduced into the form of a voltage or current. This data is typically converted into a digital representation of the value and transmitted wirelessly using various modulation techniques. As the available power and size is limited for wireless sensor nodes in many applications, a medium resolution Analog-to-Digital Converter (ADC) is proposed to convert a sensed voltage with moderate speeds to lower power consumption. Specifications also include a rail-to-rail input range and minimized errors associated with offset, gain, differential nonlinearity, and integral nonlinearity. To achieve these specifications, an 8-bit successive approximation register ADC is developed which has a conversion time of nine clock cycles. This ADC features a charge scaling array included to achieve minimized power consumption and area by reducing unit capacitance in the digital-to-analog converter. Furthermore, a latched comparator provides fast decisions utilizing positive feedback. The ADC was designed and simulated using Cadence Virtuoso with parasitic extraction over expected operating temperature range of 0 – 85°C. The design was fabricated using TSMC’s 65 nanometer RF GP process and tested on a printed circuit board to verify design specifications. The measured results for the device show an offset and gain error of +7 LSB and 31.1 LSB, respectively, and a DNL range of -0.9 LSB to +0.8 LSB and an INL range of approximately -4.6 LSB to +12 LSB. The INL is much improved in regard to the application of the temperature sensor. The INL for this region of interest is from -3.5 LSB to +2.8 LSB

Design of Analog-to-Digital Converters with Embedded Mixing for Ultra-Low-Power Radio Receivers

In the field of radio receivers, down-conversion methods usually rely on one (or more) explicit mixing stage(s) before the analog-to-digital converter (ADC). These stages not only contribute to the overall power consumption but also have an impact on area and can compromise the receiver’s performance in terms of noise and linearity. On the other hand, most ADCs require some sort of reference signal in order to properly digitize an analog input signal. The implementation of this reference signal usually relies on bandgap circuits and reference buffers to generate a constant, stable, dc signal. Disregarding this conventional approach, the work developed in this thesis aims to explore the viability behind the usage of a variable reference signal. Moreover, it demonstrates that not only can an input signal be properly digitized, but also shifted up and down in frequency, effectively embedding the mixing operation in an ADC. As a result, ADCs in receiver chains can perform double-duty as both a quantizer and a mixing stage. The lesser known charge-sharing (CS) topology, within the successive approximation register (SAR) ADCs, is used for a practical implementation, due to its feature of “pre-charging” the reference signal prior to the conversion. Simulation results from an 8-bit CS-SAR ADC designed in a 0.13 μm CMOS technology validate the proposed technique

Low-power ADC designs in scaled CMOS process

This thesis presents advanced design techniques for successive approximation register (SAR) analog-to-digital converters (ADCs), continuous-time ∆Σ ADCs, and single-slope (SS) ADCs in nano-scale CMOS technologies. (1) In high-speed SAR ADCs, metastability of the comparator limits the performance, which even results in the sparkle code errors. Proposed background calibration utilizing the comparator decision time detector removes the metastability-induced sparkle code errors by controlling the metastability detection window. At the same time, 1-bit resolution increase is gained from the proposed technique, which results in the fewer comparison cycles. Along with the relaxed requirement on the comparator, this cycle reduction helps to achieve the good power efficiency in high-speed SAR design. A prototype ADC in 40nm CMOS achieves 35.3dB SNDR and consumes 0.81mW while sampling at 700MS/s. (2) In the proposed continuous-time ∆Σ ADCs, conventional power-hungry opamp is replaced by voltage controlled oscillators (VCOs) that perform the data conversion in the phase domain instead of the voltage domain. In contrary to the opamp which is difficult to achieve good performance in the advanced CMOS process, VCOs have many advantages in the phase domain. To solve the nonlinear gain of VCOs, dual VCO-based integrator is used to suppress the dominant second-order distortion. To address the distortion from the DAC, a novel DAC calibration technique that both digitally senses and removes DAC mismatch errors is proposed. It has low hardware complexity by taking advantage of the intrinsic clocked level averaging (CLA) capability of dual-VCO-based integrator. It ensures high linearity regardless of the VCO center frequency. By lowering the VCO center frequency, power consumption is reduced. A prototype ADC designed in 130nm occupies an area of only 0.04mm² . It achieves 71dB SNDR over 1.7MHz bandwidth (BW) while sampling at 250MS/s and consuming only 0.9mW from a 1.2V power supply. The corresponding figure-of-merit (FOM) is 98 fJ/conversion-step. (3) A SS ADC has advantages of high linearity and a simple architecture. Thus, it is well suited for the column-parallel architecture for the CMOS image sensors. However, conversion speed is severely limited in high-bit resolution since more than 2 [superscript N] cycles are required for a N-bit resolution. To tackle this limitation, a two-step approach becomes popular. In this thesis, a two-step SAR/SS architecture is presented. In addition to reducing the conversion time, analog correlated double sampling (CDS) can cancel kT/C noise, which enables capacitor area reduction. A prototype ADC in 180nm CMOS occupies only 9.3µm x 830µm. It achieves 60.5dB SNR after CDS while sampling at 256kHz and consuming 91µWElectrical and Computer Engineerin

Integrated Circuits and Systems for Smart Sensory Applications

Connected intelligent sensing reshapes our society by empowering people with increasing new ways of mutual interactions. As integration technologies keep their scaling roadmap, the horizon of sensory applications is rapidly widening, thanks to myriad light-weight low-power or, in same cases even self-powered, smart devices with high-connectivity capabilities. CMOS integrated circuits technology is the best candidate to supply the required smartness and to pioneer these emerging sensory systems. As a result, new challenges are arising around the design of these integrated circuits and systems for sensory applications in terms of low-power edge computing, power management strategies, low-range wireless communications, integration with sensing devices. In this Special Issue recent advances in application-specific integrated circuits (ASIC) and systems for smart sensory applications in the following five emerging topics: (I) dedicated short-range communications transceivers; (II) digital smart sensors, (III) implantable neural interfaces, (IV) Power Management Strategies in wireless sensor nodes and (V) neuromorphic hardware

Aika-digitaalimuunnin laajakaistaisiin aikapohjaisiin analogia-digitaalimuuntimiin

Modern deeply scaled semiconductor processes make the design of voltage-domain circuits increasingly challenging. On the contrary, the area and power consumption of digital circuits are improving with every new process node. Consequently, digital solutions are designed in place of their purely analog counterparts in applications such as analog-to-digital (A/D) conversion. Time-based analog-to-digital converters (ADC) employ digital-intensive architectures by processing analog quantities in time-domain. The quantization step of the time-based A/D-conversion is carried out by a time-to-digital converter (TDC). A free-running ring oscillator -based TDC design is presented for use in wideband time-based ADCs. The proposed architecture aims to maximize time resolution and full-scale range, and to achieve error resilient conversion performance with minimized power and area consumptions. The time resolution is maximized by employing a high-frequency multipath ring oscillator, and the full-scale range is extended using a high-speed gray counter. The error resilience is achieved by custom sense-amplifier -based sampling flip-flops, gray coded counter and a digital error correction algorithm for counter sampling error correction. The implemented design achieves up to 9-bit effective resolution at 250 MS/s with 4.3 milliwatt power consumption.Modernien puolijohdeteknologioiden skaalautumisen seurauksena jännitetason piirien suunnittelu tulee entistä haasteellisemmaksi. Toisaalta digitaalisten piirirakenteiden pinta-ala sekä tehonkulutus pienenevät prosessikehityksen myötä. Tästä syystä digitaalisia ratkaisuja suunnitellaan vastaavien puhtaasti analogisien rakenteiden tilalle. Analogia-digitaalimuunnos (A/D-muunnos) voidaan toteuttaa jännitetason sijaan aikatasossa käyttämällä aikapohjaisia A/D-muuntimia, jotka ovat rakenteeltaan pääosin digitaalisia. Kvantisointivaihe aikapohjaisessa A/D-muuntimessa toteutetaan aika-digitaalimuuntimella. Työ esittelee vapaasti oskilloivaan silmukkaoskillaattoriin perustuvan aika-digitaalimuuntimen, joka on suunniteltu käytettäväksi laajakaistaisessa aikapohjaisessa A/D-muuntimessa. Esitelty rakenne pyrkii maksimoimaan muuntimen aikaresoluution sekä muunnosalueen, sekä saavuttamaan virhesietoisen muunnostoiminnan minimoidulla tehon sekä pinta-alan kulutuksella. Aikaresoluutio on maksimoitu hyödyntämällä suuritaajuista monipolkuista silmukkaoskillaattoria, ja muunnosalue on maksimoitu nopealla Gray-koodi -laskuripiirillä. Muunnosprosessin virhesietoisuus on saavutettu toteuttamalla näytteistys herkillä kiikkuelementeillä, hyödyntämällä Gray-koodattua laskuria, sekä jälkiprosessoimalla laskurin näytteistetyt arvot virheenkorjausalgoritmilla. Esitelty muunnintoteutus saavuttaa 9 bitin efektiivisen resoluution 250 MS/s näytetaajuudella ja 4.3 milliwatin tehonkulutuksella