841 research outputs found

    Implementation of a 200 MSps 12-bit SAR ADC

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    Analog-to-digital converters (ADCs) with high conversion frequency, often based on pipelined architectures, are used for measuring instruments, wireless communication and video applications. Successive approximation register (SAR) converters offer a compact and power efficient alternative but the conversion speed is typically designed for lower frequencies. In this thesis a low-power 12-bit 200 MSps SAR ADC based on charge redistribution was designed for a 28 nm CMOS technology. The proposed design uses an efficient SAR algorithm (merged capacitor switching procedure) to reduce power consumption due to capacitor charging by 88 % compared to a conventional design, as well as reducing the total capacitor area by half. Sampling switches were bootstrapped for increased linearity compared to simple transmission gates. Another feature of the low power design is a fully-dynamic comparator which does not require a preamplifier. Pre-layout simulations of the SAR ADC with 800 MHz input frequency shows an SNDR of 64.8 dB, corresponding to an ENOB of 10.5, and an SFDR of 75.3 dB. The total power consumption is 1.77 mW with an estimated value of 500 W for the unimplemented digital logic. Calculation of the Schreier figure-of-merit was done with an input signal at the Nyquist frequency. The simulated SNDR, SFDR and power equals 69.5 dB, 77.3 dB and 1.9 mW respectively, corresponding to a figure-of merit of 176.6 dB.FrÄn analogt till digitalt - snabba och strömsnÄla omvandlare Dagens digitala samhÀlle stÀller höga krav pÄ prestanda och effektivitet. I samarbete med Ericsson i Lund har en krets för signalomvandling utvecklats. Genom smart design uppnÄs hög hastighet och lÄg strömförbrukning som ligger i forskningens framkant. FrÄn analogt till digitalt Ett viktigt byggblock för telekommunikation och videoapplikationer Àr sÄ kallade A/D-omvandlare, som översÀtter mellan analoga signaler (till exempel ljud) och digitala signaler bestÄende av ettor och nollor. En vÀldigt effektiv metod för A/D-omvandling bygger pÄ sÄ kallad successiv approximation. Metoden innebÀr att signalen som ska omvandlas jÀmförs med en referensnivÄ, som stegvis justeras för att nÀrma sig signalens vÀrde. Till slut har man en tillrÀckligt god uppskattning av vÀrdet som ska mÀtas. Just en sÄdan omvandlare har utvecklats med höga krav pÄ hastighet och energiförbrukning. Detta gjordes genom datorsimuleringar av modeller som beskriver kretsen. ReferensnivÄn skapas ofta genom att styra ett nÀtverk som lagrar elektrisk laddning. Omvandlingens noggrannhet, eller upplösning, beror pÄ hur mÄnga nivÄer som finns tillgÀngliga det vill sÀga hur nÀra signalens vÀrde man kan komma. I den designade kretsen finns hela 4096 nivÄer! Det finns mÄnga kÀllor till osÀkerhet i systemet, bland annat hur exakta referensnivÄerna Àr och hur bra jÀmförelsen med insignalen kan göras. Eftersom dessa eventuellt kan leda till en försÀmring av omvandlingens noggrannhet mÄste alla delar i kretsen utformas med detta i Ätanke. Höga hastigheter Eftersom det krÀvs mÄnga steg för referensnivÄn att nÀrma sig signalens vÀrde Àr den maximala omvandlingshastigheten ofta begrÀnsad. Med teknikens utveckling öppnas nya möjligheter i takt med att mikrochippens enskilda komponenter blir snabbare. Modern forskning visar att omvandlare baserade pÄ successiv approximation kan uppnÄ hastigheter pÄ flera miljoner mÀtvÀrden varje sekund, vilket Àven den utvecklade kretsen klarar av. Effektiv design Nya metoder för successiv approximation möjliggör stora besparingar nÀr det gÀller effektförbrukning, till exempel genom att effektivisera upp- och urladdningen av nÀtverket. Genom smÄ Àndringar kunde nÀtverkets energiförbrukning minskas med över 90 % samtidigt som dess area halverades. Eftersom produktionskostnaden för integrerade kretsar Àr hög medför varje minskning av kretsens area att kostnaden sjunker

    A 9.38-bit, 422nW, high linear SAR-ADC for wireless implantable system

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    In wireless implantable systems (WIS) low power consumption and linearity are the most prominent performance metrics in data acquisition systems. successive approximation register-analog to digital converter (SAR-ADC) is used for data processing in WIS. In this research work, a 10-bit low power high linear SAR-ADC has been designed for WIS. The proposed SAR-ADC architecture is designed using the sample and hold (S/H) circuit consisting of a bootstrap circuit with a dummy switch. This SAR-ADC has a dynamic latch comparator, a split capacitance digital to analog converter (SC-DAC) with mismatch calibration, and a SAR using D-flipflop. This architecture is designed in 45 nm CMOS technology. This ADC reduces non-linearity errors and improve the output voltage swing due to the usage of a clock booster and dummy switch in the sample and hold. The calculated outcomes of the proposed SAR ADC display that with on-chip calibration an ENOB of 9.38 (bits), spurious free distortion ratio (SFDR) of 58.621 dB, and ± 0.2 LSB DNL and ± 0.4LSB INL after calibration

    Study of a Time Assisted SAR ADC

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    The demand for low power systems has been increasing in recent years and Analogto- Digital Converters (ADCs) are key blocks of many of these systems as they convert a physical quantity into the digital domain so that this information can be further processed or stored using digital techniques. Data Converters based on Charge Redistribution using of Successive Approximation Registers (SAR) are becoming one of the most popular ADC architectures for moderate speed, medium resolution and low power applications. Due to their low analog complexity SAR ADCs benefit from technology scaling. However, this scaling often comes with a supply voltage reduction and the noise levels do not decrease at the same rate, which translates into a performance decrease. Therefore, new opportunities emerge to explore other physical quantities such as time, frequency, phase or charge in the circuit. This thesis focuses on studying how the time domain information can be used to increase the performance of SAR ADCs. To do so, a new SAR ADC architecture is proposed in which a Time-to-Digital Converter (TDC) is used to convert the time domain information, provided by the comparator, into the digital domain. This new architecture was modelled in MATLAB as a 12 bit TDC assisted SAR ADC, using information from electrical simulations of the comparator and the TDC, designed in Cadence in 65 nm ST Microelectronics CMOS technology. Simulation results demonstrated that, to achieve a better performance when compared to more traditional SAR structures, the TDC energy and latency should be minimized. Another limiting factor was the large voltage range in which only 1 bit could be extracted from the time-to-voltage conversion by the TDC due to the comparator’s fast response in this range. The proposed architecture was also extended to incorporate a Bypass Window in the time domain, which allowed to substantially decrease the number of clock cycles necessary to solve the 12 bits of the ADC

    Low-Power SAR ADCs:Basic Techniques and Trends

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    With the advent of small, battery-powered devices, power efficiency has become of paramount importance. For analog-to-digital converters (ADCs), the successive approximation register (SAR) architecture plays a prominent role thanks to its ability to combine power efficiency with a simple architecture, a broad application scope, and technology portability. In this review article, the basic design challenges for low-power SAR ADCs are summarized and several design techniques are illustrated. Furthermore, the limitations of SAR ADCs are outlined and hybrid architecture trends, such as noise-shaping SAR ADCs and pipelined SAR ADCs, are briefly introduced and clarified with examples

    A 12-bit SAR ADC for a flexible tactile sensor

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    Successive Approximation Register (SAR) Analog-to-Digital Converters (ADC) are some of the most efficient ADC topologies available, allowing excellent performance values at low power consumption across a wide range of sampling frequencies. The proposed ADC is aimed at a tactile sensor application, requiring a low-noise and lowpower solution. In addition, it should have high SNDR to detect even the weakest signals with precision. This thesis presents a 12-bit 400 kS/s SAR ADC implemented in a 180 nm CMOS technology for such a task. The designed SAR ADC uses a hybrid R-C DAC topology consisting of a chargescaling MSB DAC and a voltage-scaling LSB DAC, allowing a good trade-off between power consumption, layout area and performance while keeping the total DAC capacitance under reasonable values. Bootstrapped switches have been implemented to preserve high-linearity during the sampling period. A double-tail dynamic comparator has been designed to obtain a low-noise measurement while ensuring suitable delay values. Finally, regarding the logic, an asynchronous implementation and the conventional switching algorithm provide a simple but effective solution to supply the digital signals of the design. Pre-layout noise simulations with input frequencies around 200 kHz show SNDR values of 72.07 dB, corresponding to an ENOB of 11.67 bits. The total power consumption is 365 ?W while the Walden and Schreier figure-of-merit (FoM) correspond to values of 275 fJ/conversion and 160 dB, respectively

    Low-Power Energy Efficient Circuit Techniques for Small IoT Systems

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    Although the improvement in circuit speed has been limited in recent years, there has been increased focus on the internet of things (IoT) as technology scaling has decreased circuit size, power usage and cost. This trend has led to the development of many small sensor systems with affordable costs and diverse functions, offering people convenient connection with and control over their surroundings. This dissertation discusses the major challenges and their solutions in realizing small IoT systems, focusing on non-digital blocks, such as power converters and analog sensing blocks, which have difficulty in following the traditional scaling trends of digital circuits. To accommodate the limited energy storage and harvesting capacity of small IoT systems, this dissertation presents an energy harvester and voltage regulators with low quiescent power and good efficiency in ultra-low power ranges. Switched-capacitor-based converters with wide-range energy-efficient voltage-controlled oscillators assisted by power-efficient self-oscillating voltage doublers and new cascaded converter topologies for more conversion ratio configurability achieve efficient power conversion down to several nanowatts. To further improve the power efficiency of these systems, analog circuits essential to most wireless IoT systems are also discussed and improved. A capacitance-to-digital sensor interface and a clocked comparator design are improved by their digital-like implementation and operation in phase and frequency domain. Thanks to the removal of large passive elements and complex analog blocks, both designs achieve excellent area reduction while maintaining state-of-art energy efficiencies. Finally, a technique for removing dynamic voltage and temperature variations is presented as smaller circuits in advanced technologies are more vulnerable to these variations. A 2-D simultaneous feedback control using an on-chip oven control locks the supply voltage and temperature of a small on-chip domain and protects circuits in this locked domain from external voltage and temperature changes, demonstrating 0.0066 V/V and 0.013 °C/°C sensitivities to external changes. Simple digital implementation of the sensors and most parts of the control loops allows robust operation within wide voltage and temperature ranges.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/138743/1/wanyeong_1.pd

    Design of Energy-Efficient A/D Converters with Partial Embedded Equalization for High-Speed Wireline Receiver Applications

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    As the data rates of wireline communication links increases, channel impairments such as skin effect, dielectric loss, fiber dispersion, reflections and cross-talk become more pronounced. This warrants more interest in analog-to-digital converter (ADC)-based serial link receivers, as they allow for more complex and flexible back-end digital signal processing (DSP) relative to binary or mixed-signal receivers. Utilizing this back-end DSP allows for complex digital equalization and more bandwidth-efficient modulation schemes, while also displaying reduced process/voltage/temperature (PVT) sensitivity. Furthermore, these architectures offer straightforward design translation and can directly leverage the area and power scaling offered by new CMOS technology nodes. However, the power consumption of the ADC front-end and subsequent digital signal processing is a major issue. Embedding partial equalization inside the front-end ADC can potentially result in lowering the complexity of back-end DSP and/or decreasing the ADC resolution requirement, which results in a more energy-effcient receiver. This dissertation presents efficient implementations for multi-GS/s time-interleaved ADCs with partial embedded equalization. First prototype details a 6b 1.6GS/s ADC with a novel embedded redundant-cycle 1-tap DFE structure in 90nm CMOS. The other two prototypes explain more complex 6b 10GS/s ADCs with efficiently embedded feed-forward equalization (FFE) and decision feedback equalization (DFE) in 65nm CMOS. Leveraging a time-interleaved successive approximation ADC architecture, new structures for embedded DFE and FFE are proposed with low power/area overhead. Measurement results over FR4 channels verify the effectiveness of proposed embedded equalization schemes. The comparison of fabricated prototypes against state-of-the-art general-purpose ADCs at similar speed/resolution range shows comparable performances, while the proposed architectures include embedded equalization as well
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