5 research outputs found
Low-Noise Energy-Efficient Sensor Interface Circuits
Today, the Internet of Things (IoT) refers to a concept of connecting any devices on network where environmental data around us is collected by sensors and shared across platforms. The IoT devices often have small form factors and limited battery capacity; they call for low-power, low-noise sensor interface circuits to achieve high resolution and long battery life. This dissertation focuses on CMOS sensor interface circuit techniques for a MEMS capacitive pressure sensor, thermopile array, and capacitive microphone.
Ambient pressure is measured in the form of capacitance. This work propose two capacitance-to-digital converters (CDC): a dual-slope CDC employs an energy efficient charge subtraction and dual comparator scheme; an incremental zoom-in CDC largely reduces oversampling ratio by using 9b zoom-in SAR, significantly improving conversion energy.
An infrared gesture recognition system-on-chip is then proposed. A hand emits infrared radiation, and it forms an image on a thermopile array. The signal is amplified by a low-noise instrumentation chopper amplifier, filtered by a low-power 30Hz LPF to remove out-band noise including the chopper frequency and its harmonics, and digitized by an ADC. Finally, a motion history image based DSP analyzes the waveform to detect specific hand gestures.
Lastly, a microphone preamplifier represents one key challenge in enabling voice interfaces, which are expected to play a dominant role in future IoT devices. A newly proposed switched-bias preamplifier uses switched-MOSFET to reduce 1/f noise inherently.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/137061/1/chaseoh_1.pd
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
An all-digital charge to digital converter
PhD ThesisDuring the last two decades, the topic of the Internet of Things
(IoT) has become very popular. It provides an idea that everything
in the real world should be connected with the internet
in the future. Integrating sensors into small wireless networked
nodes is a huge challenge due to the low power/energy budget
in wireless sensor systems. An integrated sensor normally
consumes significant power and has complex design which increases
the cost. The core part of the sensor is the sensor interface
which consumes major power especially for a capacitor-based
sensor.
Capacitive sensors and voltage sensors are two frequently
used sensor types in the wireless sensor family. Capacitive sensors,
that transform capacitance values into digital outputs, can
be used in areas such as biomedical, environmental, and mobile
applications. Voltage sensors are also widely used in many modern
areas such as Energy Harvesting (EH) systems. Both of these
sensors may make use of sensor interfaces to transform a measured
analogue signal into a frequency output or a digital code
for use in a digital system. Existing sensor interfaces normally
use complex analog-to-digital converter (ADC) techniques that
consume high power and suffers from slow sensing response.
This thesis proposes a smart all-digital dual-use capacitorbased
sensor interface called charge to digital converter (QDC).
This QDC is capable of not only sensing capacitance but also
sensing voltages by using fully digital solutions based on iterative
delay chain discharge. Unlike the conventional methods
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that only treats the sensed capacitance only as the input signal,
this thesis proposes a method that can directly use the stored
energy from the sensed capacitance as well to power parts of
the circuit, which simplifies the design and saves power. By
playing with the capacitance and input voltage, it can be used
as a capacitance-to-digital converter (CDC) to sense capacitance
under fixed input voltage and it also can be used as a capacitorbased
voltage sensor interface to measure voltage level under
fixed capacitance. The new method achieves the same accuracy
with less than half the circuit size, and 25% and 33% savings on
power and energy consumption compared with the state of art
benchmark. The method has been validated by experimenting
with a chip fabricated in 350nm process, in addition to extensive
simulation analysis
Interface Circuits for Microsensor Integrated Systems
ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms. [Recent advances in sensing technologies, especially those for Microsensor Integrated Systems, have led to several new commercial applications. Among these, low voltage and low power circuit architectures have gained growing attention, being suitable for portable long battery life devices. The aim is to improve the performances of actual interface circuits and systems, both in terms of voltage mode and current mode, in order to overcome the potential problems due to technology scaling and different technology integrations. Related problems, especially those concerning parasitics, lead to a severe interface design attention, especially concerning the analog front-end and novel and smart architecture must be explored and tested, both at simulation and prototype level. Moreover, the growing demand for autonomous systems gets even harder the interface design due to the need of energy-aware cost-effective circuit interfaces integrating, where possible, energy harvesting solutions. The objective of this Special Issue is to explore the potential solutions to overcome actual limitations in sensor interface circuits and systems, especially those for low voltage and low power Microsensor Integrated Systems. The present Special Issue aims to present and highlight the advances and the latest novel and emergent results on this topic, showing best practices, implementations and applications. The Guest Editors invite to submit original research contributions dealing with sensor interfacing related to this specific topic. Additionally, application oriented and review papers are encouraged.