Analog Circuits in Ultra-Deep-Submicron CMOS

Modern and future ultra-deep-submicron (UDSM) technologies introduce several new problems in analog design. Nonlinear output conductance in combination with reduced voltage gain pose limits in linearity of (feedback) circuits. Gate-leakage mismatch exceeds conventional matching tolerances. Increasing area does not improve matching any more, except if higher power consumption is accepted or if active cancellation techniques are used. Another issue is the drop in supply voltages. Operating critical parts at higher supply voltages by exploiting combinations of thin- and thick-oxide transistors can solve this problem. Composite transistors are presented to solve this problem in a practical way. Practical rules of thumb based on measurements are derived for the above phenomena

Novel techniques for the design and practical realization of switched-capacitor circuits in deep-submicron CMOS technologies

Dissertação apresentada para obtenção do Grau de Doutor em Engenharia Electrotécnica e de Computadores pela Universidade Nova de Lisboa, Faculdade de Ciências e TecnologiaSwitches presenting high linearity are more and more required in switched-capacitor circuits,namely in 12 to 16 bits resolution analog-to-digital converters. The CMOS technology evolves continuously towards lower supply voltages and, simultaneously, new design techniques are necessary to fulfill the realization of switches exhibiting a high dynamic range and a distortion compatible with referred resolutions. Moreover, with the continuously downing of the sizes, the physic constraints of the technology must be considered to avoid the excessive stress of the devices when relatively high voltages are applied to the gates. New switch-linearization techniques, with high reliability, must be necessarily developed and demonstrated in CMOS integrated circuits. Also, the research of new structures of circuits with switched-capacitor is permanent. Simplified and efficient structures are mandatory, adequate to the new demands emerging from the proliferation of portable equipments, necessarily with low energy consumption while assuring high performance and multiple functions. The work reported in this Thesis comprises these two areas. The behavior of the switches under these new constraints is analyzed, being a new and original solution proposed, in order to maintain the performance. Also, proposals for the application of simpler clock and control schemes are presented, and for the use of open-loop structures and amplifiers with localfeedback. The results, obtained in laboratory or by simulation, assess the feasibility of the presented proposals

Low-Power and Programmable Analog Circuitry for Wireless Sensors

Embedding networks of secure, wirelessly-connected sensors and actuators will help us to conscientiously manage our local and extended environments. One major challenge for this vision is to create networks of wireless sensor devices that provide maximal knowledge of their environment while using only the energy that is available within that environment. In this work, it is argued that the energy constraints in wireless sensor design are best addressed by incorporating analog signal processors. The low power-consumption of an analog signal processor allows persistent monitoring of multiple sensors while the device\u27s analog-to-digital converter, microcontroller, and transceiver are all in sleep mode. This dissertation describes the development of analog signal processing integrated circuits for wireless sensor networks. Specific technology problems that are addressed include reconfigurable processing architectures for low-power sensing applications, as well as the development of reprogrammable biasing for analog circuits

Low-Power and Programmable Analog Circuitry for Wireless Sensors

Embedding networks of secure, wirelessly-connected sensors and actuators will help us to conscientiously manage our local and extended environments. One major challenge for this vision is to create networks of wireless sensor devices that provide maximal knowledge of their environment while using only the energy that is available within that environment. In this work, it is argued that the energy constraints in wireless sensor design are best addressed by incorporating analog signal processors. The low power-consumption of an analog signal processor allows persistent monitoring of multiple sensors while the device\u27s analog-to-digital converter, microcontroller, and transceiver are all in sleep mode. This dissertation describes the development of analog signal processing integrated circuits for wireless sensor networks. Specific technology problems that are addressed include reconfigurable processing architectures for low-power sensing applications, as well as the development of reprogrammable biasing for analog circuits

Low Power Cmos Circuit Design And Reliability Analysis For Wireless Me

A sensor node \u27AccuMicroMotion\u27 is proposed that has the ability to detect motion in 6 degrees of freedom for the application of physiological activity monitoring. It is expected to be light weight, low power, small and cheap. The sensor node may collect and transmit 3 axes of acceleration and 3 axes of angular rotation signals from MEMS transducers wirelessly to a nearby base station while attached to or implanted in human body. This dissertation proposes a wireless electronic system-on-a-single-chip to implement the sensor in a traditional CMOS process. The system is low power and may operate 50 hours from a single coin cell battery. A CMOS readout circuit, an analog to digital converter and a wireless transmitter is designed to implement the proposed system. In the architecture of the \u27AccuMicroMotion\u27 system, the readout circuit uses chopper stabilization technique and can resolve DC to 1 KHz and 200 nV signals from MEMS transducers. The base band signal is digitized using a 10-bit successive approximation register analog to digital converter. Digitized outputs from up to nine transducers can be combined in a parallel to serial converter for transmission by a 900 MHz RF transmitter that operates in amplitude shift keying modulation technique. The transmitter delivers a 2.2 mW power to a 50 Ù antenna. The system consumes an average current of 4.8 mA from a 3V supply when 6 sensors are in operation and provides an overall 60 dB dynamic range. Furthermore, in this dissertation, a methodology is developed that applies accelerated electrical stress on MOS devices to extract BSIM3 models and RF parameters through measurements to perform comprehensive study, analysis and modeling of several analog and RF circuits under hot carrier and breakdown degradation

Automated sample preparation using adaptive digital microfluidics for lab-on-chip devices

2018 Summer.Includes bibliographical references.There have been many technological advances in the medical industry over the years giving doctors and researchers more information than ever before. Technology has allowed more sensitive and accurate sensors and has also driven the size of many sensor devices smaller while increasing sensitivity. However, while many aspects of technology have seen improvements, the sample preparation of biological tests has seen lagging development. The sample preparation stage is defined here as the extracting of required features from a given sample for the purpose of measurement. A simple example of this is the solid phase extraction of DNA from a blood sample to detect blood borne pathogens. While this process is common in laboratories, and has even been automated by large and expensive equipment, it is a difficult process to mimic in lab-on-chip (LoC) devices. Nucleic Acid isolation requires common bench top equipment such as pipettes, vortexers, and centrifuges. Current lab based methods also use relatively large amounts of reagents to perform the extraction adding to the cost of each test. There has been a lot of research improving sensing techniques proposed for Lab on Chip devices, but many sensing methods still require a sample preparation stage to extract desired features. Without a complimentary LoC sample preparation system, the diversity of LoC device remains limited. The results presented in this thesis demonstrate the general principle of digital microfluidic device and the use of such device in a small hand-held platform capable of performing many sample preparation tasks automatically, such as the extraction and isolation of DNA. Liquids are transported using a technique called Eletro-wetting on Dielectric (EWOD) and controlled via a programmable microprocessor. The programmable nature of the device allows it to be configured for a variety of tests for different industries. The device also requires a fraction of the liquids lab based methods use, which greatly reduces the cost per test. The results of this thesis show a promising step forward to more capable LoC devices

Radiation hard FPGA configuration techniques using silicon on sapphire

 Once entirely the domain of space-borne applications, the effects of high energy charged particles on electronics systems is now also a concern for terrestrial devices. Reconfigurable components such as FPGAs are particularly vulnerable to radiation single event effects (SEU) as they carry a large amount of memory within a relatively small amount of circuit area. This thesis presents a Silicon on Insulator (SOI) based configuration memory system in a radiation hard reconfiguration system. The SOI technology used in this particular work is Silicon on Sapphire, where Sapphire is used as the body insulator. A non-volatile storage cell, able to be manufactured in a standard single polysilicon SOI CMOS process with no special layers, is combined with a Schmitt amplifier which result a final structure that exhibits two unique characteristics enhancing its resistance to radiation. Firstly, it is impossible for a radiation induced event to permanently flip the configuration state. Secondly, a partial de-programming resulting in a reduction in the magnitude of the storage cell voltage causes a large change in static current that can be very easily detected using a conventional sense amplifier. A simple current detector of the type used in conventional RAM circuits allows the configuration memory to be set up to exhibit self-correcting, or “auto-scrubbing” behavior. While the combination of SOI EEPROM and Schmitt exhibits high intrinsic resistance to radiation induced errors, it is still possible for a sequence of two particle strikes to cause the configuration value to be lost. Estimates are made of the Soft error Rate (SER) performance of the overall configuration memory structure. A trial layout of a configurable Look Up Table (LUT) is presented as an example of how the SOS EEPROM configuration cell would be deployed in a real system