Integrated system for a high resolution MEMS accelerometer

Tese de mestrado integrado. Engenharia Electrotécnica e de Computadores (Major Telecomunicações). Faculdade de Engenharia. Universidade do Porto. 201

System and circuitry to provide stable transconductance for biasing

An amplifier system can include an input amplifier configured to receive an analog input signal and provide an amplified signal corresponding to the analog input signal. A tracking loop is configured to employ delta modulation for tracking the amplified signal, the tracking loop providing a corresponding output signal. A biasing circuit is configured to adjust a bias current to maintain stable transconductance over temperature variations, the biasing circuit providing at least one bias signal for biasing at least one of the input amplifier and the tracking loop, whereby the circuitry receiving the at least one bias signal exhibits stable performance over the temperature variations. In another embodiment the biasing circuit can be utilized in other applications

Resource-Constrained Acquisition Circuits for Next Generation Neural Interfaces

The development of neural interfaces allowing the acquisition of signals from the cortex of the brain has seen an increasing amount of interest both in academic research as well as in the commercial space due to their ability to aid people with various medical conditions, such as spinal cord injuries, as well as their potential to allow more seamless interactions between people and machines. While it has already been demonstrated that neural implants can allow tetraplegic patients to control robotic arms, thus to an extent returning some motoric function, the current state of the art often involves the use of heavy table-top instruments connected by wires passing through the patient’s skull, thus making the applications impractical and chronically infeasible. Those limitations are leading to the development of the next generation of neural interfaces that will overcome those issues by being minimal in size and completely wireless, thus paving a way to the possibility of their chronic application. Their development however faces several challenges in numerous aspects of engineering due to constraints presented by their minimal size, amount of power available as well as the materials that can be utilised. The aim of this work is to explore some of those challenges and investigate novel circuit techniques that would allow the implementation of acquisition analogue front-ends under the presented constraints. This is facilitated by first giving an overview of the problematic of recording electrodes and their electrical characterisation in terms of their impedance profile and added noise that can be used to guide the design of analogue front-ends. Continuous time (CT) acquisition is then investigated as a promising signal digitisation technique alternative to more conventional methods in terms of its suitability. This is complemented by a description of practical implementations of a CT analogue-to-digital converter (ADC) including a novel technique of clockless stochastic chopping aimed at the suppression of flicker noise that commonly affects the acquisition of low-frequency signals. A compact design is presented, implementing a 450 nW, 5.5 bit ENOB CT ADC, occupying an area of 0.0288 mm2 in a 0.18 μm CMOS technology, making this the smallest presented design in literature to the best of our knowledge. As completely wireless neural implants rely on power delivered through wireless links, their supply voltage is often subject to large high frequency variations as well voltage uncertainty making it necessary to design reference circuits and voltage regulators providing stable reference voltage and supply in the constrained space afforded to them. This results in numerous challenges that are explored and a design of a practical implementation of a reference circuit and voltage regulator is presented. Two designs in a 0.35 μm CMOS technology are presented, showing respectively a measured PSRR of ≈60 dB and ≈53 dB at DC and a worst-case PSRR of ≈42 dB and ≈33 dB with a less than 1% standard deviation in the output reference voltage of 1.2 V while consuming a power of ≈7 μW. Finally, ΣΔ modulators are investigated for their suitability in neural signal acquisition chains, their properties explained and a practical implementation of a ΣΔ DC-coupled neural acquisition circuit presented. This implements a 10-kHz, 40 dB SNDR ΣΔ analogue front-end implemented in a 0.18 μm CMOS technology occupying a compact area of 0.044 μm2 per channel while consuming 31.1 μW per channel.Open Acces

Wireless sensor platform for harsh environments

Reliable and efficient sensing becomes increasingly difficult in harsher environments. A sensing module for high-temperature conditions utilizes a digital, rather than analog, implementation on a wireless platform to achieve good quality data transmission. The module comprises a sensor, integrated circuit, and antenna. The integrated circuit includes an amplifier, A/D converter, decimation filter, and digital transmitter. To operate, an analog signal is received by the sensor, amplified by the amplifier, converted into a digital signal by the A/D converter, filtered by the decimation filter to address the quantization error, and output in digital format by the digital transmitter and antenna

Low-voltage data converters

With the growing demand for portable/consumer electronics, such as digital audio/video (AV), the downscaling of device dimensions, which enables the integration of an increasing number of transistors in a single chip, is mandatory. This trend also continuously pushes the power supply voltage down to reduce the power consumption and improve the reliability of gate dielectrics. While the reduction of power supply voltage is of great benefit to the essential digital blocks in the system like data storage and digital signal processing, it makes it hard to operate the important and indispensable analog building blocks such as data converters and drivers. In this thesis, the novel structures for the low-voltage digital-to-analog converter (DAC) and analog-to-digital converter (ADC) are presented. The research contributions of this work include (1) a sub-1V audio [delta sigma] DAC with one opamp used per channel to implement D/A conversion, 1st-order FIR and 2ndorder IIR filtering, as well as power amplification for the headphone, (2) a sub-1V pipelined ADC with the novel MDAC based on a low-voltage track-and-hold amplifier. Two prototypes, one is a 0.8V, 88dB dual-channel audio [delta sigma] DAC with headphone driver, the other one is a 0.8V, 10-bit, 10MS/s pipelined ADC were fabricated to verify the functionality of the proposed structures in standard CMOS processes

Dual Application ADC using Three Calibration Techniques in 10nm Technology

abstract: In this work, a 12-bit ADC with three types of calibration is proposed for high speed security applications as well as a precision application. This converter performs for both applications because it satisfies all the necessary specifications such as minimal device mismatch and offset, programmability to decrease aging effects, high SNR for increased ENOB and fast conversion rate. The designed converter implements three types of calibration necessary for offset and gain error, including: a correlated double sampling integrator used in the first stage of the ADC, a power up auto zero technique implemented in the digital code to store any offset and subtract out if necessary, and an automatic startup and manual calibration to control the common mode voltages. The proposed ADC was designed in Intel’s 10nm technology. This ADC is designed to monitor DC voltages for the precision and high speed applications. The conversion rate of the analog to digital converter is programmable to 7µs or 910ns, depending on the precision or high speed application, respectively. The range of the input and reference supply is 0 to 1.25V. The ADC is designed in Intel 10nm technology using a 1.8V supply consuming an area of 0.0705mm2. This thesis explores challenges of designing a dual-purpose analog to digital converter, which include: 1.) increased offset in 10nm technology, 2.) dual application ADC that can be accurate and fast, 3.) reducing the parasitic capacitance of the ADC, and 4.) gain error that occurs in ADCs.Dissertation/ThesisMasters Thesis Electrical Engineering 201

Switched Capacitor Circuit Techniques for High Performance CMOS Analog Circuits

Switched capacitor (SC) circuits are the main building blocks in many structures such as filters, data converters, sampling circuits and sampled-data amplifiers. The key challenge is to design such circuits which are the prime components of any IoT system with low power consumption without compromising on the performance. In this dissertation, power efficient novel switched capacitor techniques have been explored to suppress noise and mitigate the slewing in switched capacitor-based analog to digital converters (ADCs). First, a two-step incremental ADC(IADC) with pseudo-pseudo differential (PPD) structure is presented. PPD integrators are implemented with added correlated level shifting (CLS) technique to relax the output swing and gain requirements of the operational transconductance amplifier (OTA). The two-step IADC is implemented with the first step configured as a single-bit first-order IADC and the second step, using a two-capacitor SAR-assisted extended counting to further enhances the accuracy. The design is demonstrated by implementing the prototype in 65nm CMOS technology. Second, new passive charge compensation techniques are described. The proposed techniques mitigate the slewing in the OTA by providing a controlled amount of charge to the output of the OTA. The effectiveness of the proposed charge compensation technique in a switched-capacitor integrator is demonstrated in a second-order DSM. Circuit-level simulations including the effects of process, voltage and temperature variations are also presented. The extracted simulation results show a 12 dB improvement in SNDR using the proposed technique compared to conventional DSM without charge compensation

Improved design techniques for analog and mixed circuits

Although the digital revolution can realize many of past analog components in the digital forms, our world is surrounded with analog signals such as voice, temperature, etc. The bridge between these two worlds is one of key performance limitations among overall systems and it includes analog filters and data converters. This thesis studies two design techniques with respect to the improvement of the performances of the bridge circuits; one is an implementation of the delta-sigma A/D converter with a new architecture and another is a proposed correlated double-sampling technique for continuous analog filters. A circuit implementation for the new architecture converter is proposed and implemented in AKM 0.18µm CMOS technology. The test results show that the modulator achieves 72dB of SNDR from the 1.8 V supply voltage. A newly proposed correlated double sampling technique compensates the gain error of a high-Q Tow-Thomas filter which originates from the op-amp imperfections. The gain error is reduced to 0.6dB from 2.5dB with the correlated double sampling technique.Keywords: analog, continuous-time filter, mixed-mode, correlated double sampling, delta-sigma, dual-pat