Design of Relaxation Digital-to-Analog Converters for Internet of Things Applications in 40nm CMOS

A 10-bit-400kS/s and a 10-bit-2MS/s Relaxation Digital to Analog Converters (ReDAC) in 40nm are presented in this paper. The two ReDACs operate from a 600mV power supply, occupy a silicon area of less than 1,000um^2. The first/second DAC achieve a maximum INL of 0.33/0.72 LSB and a maximum DNL of 0.2/1.27 LSB and 9.9/9.4 ENOB based on post-layout simulations. The average energy per conversion is less than 1.1/0.73pJ, corresponding to a FOM of 1.1/1.08 fJ/(conv. step), which make them well suited to Internet of Things (IoT) applications. (PDF) Design of Relaxation Digital-to-Analog Converters for Internet of Things Applications in 40nm CMOS. Available from: https://www.researchgate.net/publication/336552301_Design_of_Relaxation_Digital-to-Analog_Converters_for_Internet_of_Things_Applications_in_40nm_CMOS [accessed Nov 16 2019]

Analog processing by digital gates: fully synthesizable IC design for IoT interfaces

Analog integrated circuits do not take advantage of scaling and are easily the bottleneck in terms of cost and performance in Internet of Things (IoT) sensor nodes integrated in nanoscale technologies. While this challenge is most commonly addressed by devising more “digital friendly” analog cells based on traditional design concepts, the possibility to translate analog functions into digital, so that to implement them by true digital gates, is now emerging as a promising alternative. This last approach, which challenges the idea that “analog circuits will be always needed”, is presented in this tutorial starting from the theoretical background to its application in digital-based operational amplifiers, voltage references, oscillators and data converters integrated on silicon which have proposed in recent literature. The applicability of the concepts to the design of ICs which are natively portable across technology nodes and highly reconfigurable, thus enabling dynamic energy quality scaling, as well as a low design effort and a fast time-to-market will be described

Relaxation Digital-to-Analog Converter with Foreground Digital Self-Calibration

3noA reference-free, fully digital foreground self-calibration strategy intended to automatically tune the clock frequency of Relaxation Digital to Analog Converters (ReDACs), as demanded for linear operation, is presented in this paper. The effectiveness of the proposed approach is demonstrated by computer simulations on a 10-bit, 2MS/s ReDAC designed in 40nm CMOS and operated from a 600mV power supply voltage. After the proposed calibration, the ReDAC is shown to operate near the optimal clock frequency achieving 0.98 LSB maximum INL, 1.00 LSB maximum DNL and 9.06 ENOB.partially_openopenPaolo Crovetti; Roberto Rubino; Francesco MusolinoCrovetti, PAOLO STEFANO; Rubino, Roberto; Musolino, Francesc

Emerging Relaxation and DDPM D/A Converters: Overview and Perspectives

In this paper, two emerging, digital-intensive, matching-indifferent, bitstream digital-to-analog (D/A) conversion techniques proposed in the last years, namely: the Relaxation D/A Conversion (ReDAC) and the Dyadic Digital Pulse Modulation (DDPM)-based D/A conversion, are reviewed and compared. After the basic concepts are introduced, the main challenges and research achievements over the last years are summarized and the performance of different integrated circuit (IC), field-programmable gate array (FPGA) and microcontroller-based ReDACs and DDPM-DACs are discussed and compared, highlighting advantages and open research questions. Present applications of the two techniques in voltage and current mode A/D conversion, RF modulation, digitally controlled switching-mode power converters, and machine learning accelerators will be discussed, and future application perspectives will be outlined

Re-thinking Analog Integrated Circuits in Digital Terms: A New Design Concept for the IoT Era

A steady trend towards the design of mostly-digital and digital-friendly analog circuits, suitable to integration in mainstream nanoscale CMOS by a highly automated design flow, has been observed in the last years to address the requirements of the emerging Internet of Things (IoT) applications. In this context, this tutorial brief presents an overview of concepts and design methodologies that emerged in the last decade, aimed to the implementation of analog circuits like Operational Transconductance Amplifiers, Voltage References and Data Converters by digital circuits. The current design challenges and application scenarios as well as the future perspectives and opportunities in the field of digital-based analog processing are finally discussed

Relaxation Digital-to-Analog Converter with Radix-based Digital Correction

A Relaxation Digital-to-Analog Converter (ReDACs) with a novel, all-digital, radix-based digital correction technique for clock-indifferent linear operation is presented in this paper. The ReDAC architecture proposed in this paper does not require dedicated circuit for frequency tuning, and achieves linearity by digitally pre-processing the DAC input code by a Radix-based Digital Correction (RBDC) algorithm. The effectiveness of the proposed RBDC approach is demonstrated by transistor level simulations on a 10-bit, 1.7MS/s ReDAC in 180nm CMOS. Thanks to the proposed RBDC, under a 16% deviation from the ideal clock period, the maximum INL of the ReDAC is improved from 79.4 to 1.01LSB, its maximum DNL is improved from 158.3 to 0.45LSB and its SNDR is increased from 22.2 (3.4 ENOB) to 58.5dB (9.4 ENOB), at the cost of an increased power consumption from 1.85μW to 9.15μW

Low-Power Energy Efficient Circuit Techniques for Small IoT Systems

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

FPGA-Based Relaxation D/A Converters With Parasitics-Induced Error Suppression and Digital Self-Calibration

In this paper, the implementation on a Field Programmable Gate Array (FPGA) of Relaxation Digital to Analog Converters (ReDACs), which take advantage of the impulse response of a first-order RC network to generate and combine binary weighted voltages, is addressed. For this purpose, the dominant ReDAC nonlinearity limitation related to the parasitics of the RC network is analyzed and a simple and robust technique for its effective suppression is proposed. Moreover, a ReDAC foreground digital calibration strategy suitable to FPGA implementation is introduced to tune the clock frequency of the converter, as requested for ReDAC operation. The novel error suppression technique and calibration strategy are finally implemented on a 13-bit, 514,S/s prototype (ReDAC1) and on a 11-bit, 10.5,kS/s prototype (ReDAC2), which are experimentally characterized under static and dynamic conditions. Measured results on ReDAC1 (ReDAC2) reveal 1.68,LSB (1.53,LSB) maximum INL, 1.54,LSB (1.0,LSB) maximum DNL, 76.4,dB (67.9,dB) THD, 79.7,dB (71.4,dB) SFDR and 71.3,dB (63.3,dB) SNDR, corresponding to 11.6 (10.2) effective bits (ENOB)

Design and implementation of 4 bit binary weighted current steering DAC

A compact current-mode Digital-to-Analog converter (DAC) suitable for biomedical application is repesented in this paper .The designed DAC is binary weighted in 180nm CMOS technology with 1.8V supply voltage. In this implementation, authors have focused on calculaton of Non linearity error say INL and DNL for 4 bit DAC having various type of switches: NMOS, PMOS and Transmission Gate. The implemented DAC uses lower area and power compared to unary architecture due to absence of digital decoders. The desired value of Integrated non linearity (INL) and Differential non linearity (DNL) for DAC for are within a range of +0.5LSB. Result obtained in this works for INL and DNL for the case DAC using Transmission Gate is +0.34LSB and +0.38 LSB respectively with 22mW power dissipation

Software-Defined DDPM Modulators for D/A Conversion by General-Purpose Microcontrollers

The software implementation of Dyadic Digital Pulse Modulators (DDPMs) for Digital to Analog (D/A) conversion is addressed in this paper. In particular, an enhanced software DDPM implementation is proposed and compared with a plain, iterative software transposition of the basic DDPM hardware architecture. Experimental results on an 8-bit software-defined DDPM D/A converter implemented on a Texas Instrument c2000 microcontroller platform validate the approach, revealing for the novel optimized software DDPM a 6X maximum sample rate compared to the simple iterative implementation on the same microcontroller and at the same system clock frequency. Based on measurements, an 8-bit DDPM DAC featuring the proposed optimized implementation operates at 7.8kS/s with a maximum INL of 1.64LSB, a maximum DNL of 1.79LSB, an SFDR of 47.02dB and a SNDR of 45.27dB, corresponding to 7.23 ENOB, demonstrating the effectiveness and the applicability of the proposed approach to implement a low cost, software-defined D/A converters in microcontroller-based embedded systems