Capacitance-to-Digital Converter for Ultra-Low-Power Wireless Sensor Nodes

Power consumption is one of the main design constraints in today’s integrated circuits. For systems like wearable electronics, UAVs, IOT systems powered by batteries which are charged using the energy harvested from various sources like RF, Thermal, Solar and Vibration, ultra-low power consumption is paramount. In these systems, Transducers which convert physical parameters into electrical parameters and the analog-to-digital converters (ADCs) are key components as the interface between the analog world and the digital domain. This thesis addresses the design challenges, strategies, as well as circuit techniques of ultra-low-power signal Front End used in several low power electronic systems in general and pressure measurement systems in particular. In this thesis, Capacitance to Digital Converter based pressure measurement system has been implemented. Here we present a general-purpose, wide-range CDC that combines a correlated double sampling (CDS) approach with a differential asynchronous SAR ADC. Since the sensor capacitor is sampled only twice per conversion, energy per conversion is low. Furthermore, since the CDS separates the sensor capacitor from the CDAC, a full differential input voltage range is preserved. The CDC has a 2.5-to-75.5pF conversion range. Monotonic SAR ADC was designed in 180nm CMOS with 1-V power supply and a 1-kS/s sampling rate with switching energy of about 100nW

Energy aware ultra-low power SAR ADC in 180nm CMOS for biomedical application

Power consumption is one of the main design constraints in today’s integrated circuits. For systems powered by batteries, such as implantable biomedical devices, ultra-low power consumption is paramount. In these systems, analog-to-digital converters (ADCs) are key components as the interface between the analog world and the digital domain. This thesis addresses the design challenges, strategies, as well as circuit techniques of ultra-low-power ADCs for medical implant devices. In this thesis four architectures of SAR ADC is implemented with different energy efficiency. In first architecture, conventional SAR ADC was designed in 180nm CMOS technology with a 1-V power supply and a 1-kS/s sampling rate for monitoring bio potential signals, the ADC achieves a signal-to-noise and distortion ratio of 57.16 dB and consumes 43 nW power, resulting in a figure of merit of 73 fJ/conversion-step. In second architecture, Split capacitor SAR ADC was designed in 180nm CMOS with same resolution and sampling speed

High-Resolution ADCs Design in Image Sensors

This paper presents design considerations for high-resolution and high-linearity ADCs for biomedical imaging ap-plications. The work discusses how to improve dynamic spec-ifications such as Spurious Free Dynamic Range (SFDR) and Signal-to-Noise-and-Distortion Ratio (SNDR) in ultra-low power and high-resolution analog-to-digital converters (ADCs) including successive approximation register (SAR) for biomedical imaging application. The results show that with broad range of mismatch error, the SFDR is enhanced by about 10 dB with the proposed performance enhancement technique, which makes it suitable for high resolution image sensors sensing systems

Power Efficient ADCs for Biomedical Signal Acquisition

Open Access.Peer reviewe

Design of a Programmable Passive SoC for Biomedical Applications Using RFID ISO 15693/NFC5 Interface

Low power, low cost inductively powered passive biotelemetry system involving fully customized RFID/NFC interface base SoC has gained popularity in the last decades. However, most of the SoCs developed are application specific and lacks either on-chip computational or sensor readout capability. In this paper, we present design details of a programmable passive SoC in compliance with ISO 15693/NFC5 standard for biomedical applications. The integrated system consists of a 32-bit microcontroller, a sensor readout circuit, a 12-bit SAR type ADC, 16 kB RAM, 16 kB ROM and other digital peripherals. The design is implemented in a 0.18 μ m CMOS technology and used a die area of 1.52 mm × 3.24 mm. The simulated maximum power consumption of the analog block is 592 μ W. The number of external components required by the SoC is limited to an external memory device, sensors, antenna and some passive components. The external memory device contains the application specific firmware. Based on the application, the firmware can be modified accordingly. The SoC design is suitable for medical implants to measure physiological parameters like temperature, pressure or ECG. As an application example, the authors have proposed a bioimplant to measure arterial blood pressure for patients suffering from Peripheral Artery Disease (PAD)

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

An efficient tool for the assisted design of SAR ADCs capacitive DACs

The optimal design of SAR ADCs requires the accurate estimate of nonlinearity and parasitic capacitance effects in the feedback charge redistribution DAC. Since both contributions depend on the specific array topology, complex calculations, custom modeling and heavy simulations in common circuit design environments are often required. This paper presents a MATLAB-based numerical environment to assist the design of the charge redistribution DACs adopted in SAR ADCs. The tool performs both parametric and statistical simulations taking into account capacitive mismatch and parasitic capacitances computing both differential and integral nonlinearity (DNL, INL). An excellent agreement is obtained with the results of circuit simulators (e.g. Cadence Spectre) featuring up to 10^4 shorter simulation time, allowing statistical simulations that would be otherwise impracticable. The switching energy and SNDR degradation due to static nonlinear effects are also estimated. Simulations and measurements on three designed and two fabricated prototypes confirm that the proposed tool can be used as a valid instrument to assist the design of a charge redistribution SAR ADC and to predict its static and dynamic metrics

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

Design of a low power 8-bit A/D converter for wireless neural recorder applications

Human brain and related topics like neuron spikes and their active potentials have become more and more attractive to people these days, as these issues are extremely helpful for curing many neural injuries and cognitive diseases. One method to discover this field is by designing a chip embedded in brains with probes to actual neurons. It is obvious that batteries are not practical for these applications and thereby RF radiation is used as power sources, revealing that chips should operate under a very low power supply. Since neural signals are analog waveforms, analog-to-digital converter (A/D converter, ADC) is the key component in a neural recorder chip. This thesis proposes the complete design of a low power 8-bit successive approximation register (SAR) A/D converter for use in a wireless neural recorder chip, realizing the function of digitizing a sampled neural signal with a frequency distribution of 10Hz to 10kHz. A modified energy-saving capacitor array in the SAR structure is provided to help save power dissipation. Therefore, the ADC shall operate within a power budget of 20­μW maximum from a 1­V power source, at a clock frequency of 500kHz corresponding to a conversion rate of 55.5-kS/s. All the circuits are designed and implemented based on the IBM/Global Foundries 8HP 130nm BiCMOS technology. Simulations of schematic and layout versions are done respectively to verify the functionality, linearity and power consumption of the ADC. Key words: Successive approximation register analog-to-digital converter (SAR-ADC), low power design, energy-saving capacitor array, neural recorder application

A Review Of Implementing Adc In Rfid Sensor

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)The general considerations to design a sensor interface for passive RFID tags are discussed. This way, power and timing constraints imposed by ISO/IEC 15693 and ISO/IEC 14443 standards to HF RFID tags are explored. A generic multisensor interface is proposed and a survey analysis on the most suitable analog-to-digital converters for passive RFID sensing applications is reported. The most appropriate converter type and architecture are suggested. At the end, a specific sensor interface for carbon nanotube gas sensors is proposed and a brief discussion about its implemented circuits and preliminary results is made.Region Rhone-Alpes (France)CNPq (Brazil)INCT/NAMITEC (Brazil)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq