Synthesizable delay line architectures for digitally controlled voltage regulators

Voltage regulators used in the integrated circuit (IC) industry require precise voltage regulation. In digitally controlled switching converters, this precise voltage regulation is achieved by high resolution digital pulse width modulators (DPWM). Digital delay lines can be used to generate the pulse width modulation (PWM) signal. Conventional delay lines are designed in a full custom design methodology which is extremely slow and expensive compared to register-transfer level (RTL) based designs; also RTL based designs are technology independent so the same design can be used with new technologies. The purpose of this work is to introduce a new architecture for the fully synthesizable digital delay line used in digitally controlled voltage regulators. A comparison between the proposed scheme and the conventional delay line is done post synthesis on the key delay line specifications like linearity, area, complexity, and compensation for process, voltage, and temperature (PVT) variations for multiple clock frequencies. Both schemes are designed using a hardware description language (HDL) and synthesized using Intel 32nm technology. The comparison showed that the proposed architecture has better linearity, area, and also it has a fast calibration time with respect to conventional delay lines. The delay lines are designed in parameterized way in order to make the design suitable for multiple frequencies

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

FULLY INTEGRATED HIGH-FREQUENCY CLOCK GENERATION AND SYNCHRONIZATION TECHINIQUES

Department of Electrical EngineeringThis thesis presents clock generation and synchronization techniques for RF wireless communication. First, it deals with voltage-controlled oscillators (VCOs) for local oscillators (LO) in transceivers, and secondly delay-locked loops for synchronization. For the high-performance LO, VCO is one of the key blocks. LC VCOs and ring VCOs are commonly-used types. Their characteristics are varied for different frequency bands. In this thesis, two types of VCOs, LC VCO and ring VCO, are presented with specific applications. For the multi-clock generator which could be used for carrier aggregation or frequency hopping, ring-type digitally controlled oscillator (DCO) was designed covering 900-1200 MHz with -165 dB FOM. For the multi-band frequency synthesizer which could be used for 5G communication with backward compatibility, three LC VCOs are designed which frequency range of 25-30 GHz for 5G, 5.2-6.0 GHz for LTE, 2.7-4.2 GHz for 2G-3G communication, respectively. For the clock synchronization in RF communications, a delay-locked loop (DLL) using a digital-to-analog converter (DAC) based band-selecting circuit (BSC) was presented to achieve a wide harmonic-locking-free frequency range. The BSC used the proposed exponential digital-to-analog converter (EDAC) to generate a collection of initial control voltages which follow a sequence of geometric with satisfying the condition for preventing harmonic locking problem. Therefore, the BSC can cover a much wider frequency range which is free from harmonic locking problem compared to initial band selection techniques using conventional, linear DAC (LDAC) that have a set of control voltages of arithmetic sequence. In this thesis, the DLL was implemented in a 65-nm CMOS process, and it had a measured frequency range from 100 to 1500 MHz which range is free from harmonic locking. The measure rms jitter and 1-MHz phase noise at 1000 MHz were 1.99 ps and ?28 dBc/Hz, respectively. The DLL consumes 5.5 mW and its active area was 0.052 mm2.clos

Integrated transmitter circuit for multiport reconfigurable antenna

This master’s thesis was a part of an academic research projecta where the target is to design an integrated circuit (IC) to dynamically tune the operating frequency of a transmitter antenna. A multiport antenna model was provided by Prof. Viikari’s group who recently presented a novel idea of multiport antenna tuning. In this concept the multiport antenna feeds are excited with weighted signals having certain amplitudes and phases, thus leading to antenna tuning at the desired operating frequency. However, it is not feasible to dynamically scale the antenna feeding signal amplitudes and phases with discrete electronics. Therefore, the system on chip solution (SoC) approach was studied in this thesis. Initially, the concept was studied on theoretical level and with circuit simulations. The tuning analysis framework was developed to scrutinize the antenna weighted signal characteristics. This analysis provides the two most important specifications for the IC i.e., the accuracy required for on-chip amplitude and phase tuning. For the antenna under consideration, the on chip phase and amplitude tuning system have 6 bit and 3 bit scaling resolutions respectively. The tuning system is designed for a 4-port reconfigurable antenna where each antenna feed has a separate phase tuning and amplitude tuning block. The tuning system was simulated along the 4-port antenna at 2 GHz, and the simulation result validates the multiport tuning concept. This novel integrated tuning system is scalable as well as capable of tuning any reconfigurable multiport antenna

Wireless Telemetry System for Implantable Sensors

Advanced testing of medical treatments involves experimentation on small laboratory animals, such as genetically modified mice. These subjects are used to help researchers develop medication and cures for humans. To understand the effects of the treatments, innovative telemetry systems are developed, that enable remote real-time cardiac monitoring. The latest research in the field of cardiac monitoring has revealed two major limitations with wireless implantable systems: a) the current size of implantable electronics limits the physical size of the system to larger subjects; and b) the systems only interface with one sensor type (e.g., pressure sensor only). This research focuses on the design of a wireless telemetry system architecture, intended to retrieve blood pressure and volume data. A physical prototype is created that is 2.475 cm3 and weights 4.01 g. This thesis will enable a path towards miniaturization, leading to the incorporation of a wireless system into small laboratory animals

Doctor of Philosophy

dissertationSince the late 1950s, scientists have been working toward realizing implantable devices that would directly monitor or even control the human body's internal activities. Sophisticated microsystems are used to improve our understanding of internal biological processes in animals and humans. The diversity of biomedical research dictates that microsystems must be developed and customized specifically for each new application. For advanced long-term experiments, a custom designed system-on-chip (SoC) is usually necessary to meet desired specifications. Custom SoCs, however, are often prohibitively expensive, preventing many new ideas from being explored. In this work, we have identified a set of sensors that are frequently used in biomedical research and developed a single-chip integrated microsystem that offers the most commonly used sensor interfaces, high computational power, and which requires minimum external components to operate. Included peripherals can also drive chemical reactions by setting the appropriate voltages or currents across electrodes. The SoC is highly modular and well suited for prototyping in and ex vivo experimental devices. The system runs from a primary or secondary battery that can be recharged via two inductively coupled coils. The SoC includes a 16-bit microprocessor with 32 kB of on chip SRAM. The digital core consumes 350 μW at 10 MHz and is capable of running at frequencies up to 200 MHz. The integrated microsystem has been fabricated in a 65 nm CMOS technology and the silicon has been fully tested. Integrated peripherals include two sigma-delta analog-to-digital converters, two 10-bit digital-to-analog converters, and a sleep mode timer. The system also includes a wireless ultra-wideband (UWB) transmitter. The fullydigital transmitter implementation occupies 68 x 68 μm2 of silicon area, consumes 0.72 μW static power, and achieves an energy efficiency of 19 pJ/pulse at 200 MHz pulse repetition frequency. An investigation of the suitability of the UWB technology for neural recording systems is also presented. Experimental data capturing the UWB signal transmission through an animal head are presented and a statistical model for large-scale signal fading is developed

Ultra-low power mixed-signal frontend for wearable EEGs

Electronics circuits are ubiquitous in daily life, aided by advancements in the chip design industry, leading to miniaturised solutions for typical day to day problems. One of the critical healthcare areas helped by this advancement in technology is electroencephalography (EEG). EEG is a non-invasive method of tracking a person's brain waves, and a crucial tool in several healthcare contexts, including epilepsy and sleep disorders. Current ambulatory EEG systems still suffer from limitations that affect their usability. Furthermore, many patients admitted to emergency departments (ED) for a neurological disorder like altered mental status or seizures, would remain undiagnosed hours to days after admission, which leads to an elevated rate of death compared to other conditions. Conducting a thorough EEG monitoring in early-stage could prevent further damage to the brain and avoid high mortality. But lack of portability and ease of access results in a long wait time for the prescribed patients. All real signals are analogue in nature, including brainwaves sensed by EEG systems. For converting the EEG signal into digital for further processing, a truly wearable EEG has to have an analogue mixed-signal front-end (AFE). This research aims to define the specifications for building a custom AFE for the EEG recording and use that to review the suitability of the architectures available in the literature. Another critical task is to provide new architectures that can meet the developed specifications for EEG monitoring and can be used in epilepsy diagnosis, sleep monitoring, drowsiness detection and depression study. The thesis starts with a preview on EEG technology and available methods of brainwaves recording. It further expands to design requirements for the AFE, with a discussion about critical issues that need resolving. Three new continuous-time capacitive feedback chopped amplifier designs are proposed. A novel calibration loop for setting the accurate value for a pseudo-resistor, which is a crucial block in the proposed topology, is also discussed. This pseudoresistor calibration loop achieved the resistor variation of under 8.25%. The thesis also presents a new design of a curvature corrected bandgap, as well as a novel DDA based fourth-order Sallen-Key filter. A modified sensor frontend architecture is then proposed, along with a detailed analysis of its implementation. Measurement results of the AFE are finally presented. The AFE consumed a total power of 3.2A (including ADC, amplifier, filter, and current generation circuitry) with the overall integrated input-referred noise of 0.87V-rms in the frequency band of 0.5-50Hz. Measurement results confirmed that only the proposed AFE achieved all defined specifications for the wearable EEG system with the smallest power consumption than state-of-art architectures that meet few but not all specifications. The AFE also achieved a CMRR of 131.62dB, which is higher than any studied architectures.Open Acces

Integrated Electronics for Wireless Imaging Microsystems with CMUT Arrays

Integration of transducer arrays with interface electronics in the form of single-chip CMUT-on-CMOS has emerged into the field of medical ultrasound imaging and is transforming this field. It has already been used in several commercial products such as handheld full-body imagers and it is being implemented by commercial and academic groups for Intravascular Ultrasound and Intracardiac Echocardiography. However, large attenuation of ultrasonic waves transmitted through the skull has prevented ultrasound imaging of the brain. This research is a prime step toward implantable wireless microsystems that use ultrasound to image the brain by bypassing the skull. These microsystems offer autonomous scanning (beam steering and focusing) of the brain and transferring data out of the brain for further processing and image reconstruction. The objective of the presented research is to develop building blocks of an integrated electronics architecture for CMUT based wireless ultrasound imaging systems while providing a fundamental study on interfacing CMUT arrays with their associated integrated electronics in terms of electrical power transfer and acoustic reflection which would potentially lead to more efficient and high-performance systems. A fully wireless architecture for ultrasound imaging is demonstrated for the first time. An on-chip programmable transmit (TX) beamformer enables phased array focusing and steering of ultrasound waves in the transmit mode while its on-chip bandpass noise shaping digitizer followed by an ultra-wideband (UWB) uplink transmitter minimizes the effect of path loss on the transmitted image data out of the brain. A single-chip application-specific integrated circuit (ASIC) is de- signed to realize the wireless architecture and interface with array elements, each of which includes a transceiver (TRX) front-end with a high-voltage (HV) pulser, a high-voltage T/R switch, and a low-noise amplifier (LNA). Novel design techniques are implemented in the system to enhance the performance of its building blocks. Apart from imaging capability, the implantable wireless microsystems can include a pressure sensing readout to measure intracranial pressure. To do so, a power-efficient readout for pressure sensing is presented. It uses pseudo-pseudo differential readout topology to cut down the static power consumption of the sensor for further power savings in wireless microsystems. In addition, the effect of matching and electrical termination on CMUT array elements is explored leading to new interface structures to improve bandwidth and sensitivity of CMUT arrays in different operation regions. Comprehensive analysis, modeling, and simulation methodologies are presented for further investigation.Ph.D

System Identification, Diagnosis, and Built-In Self-Test of High Switching Frequency DC-DC Converters

abstract: Complex electronic systems include multiple power domains and drastically varying dynamic power consumption patterns, requiring the use of multiple power conversion and regulation units. High frequency switching converters have been gaining prominence in the DC-DC converter market due to smaller solution size (higher power density) and higher efficiency. As the filter components become smaller in value and size, they are unfortunately also subject to higher process variations and worse degradation profiles jeopardizing stable operation of the power supply. This dissertation presents techniques to track changes in the dynamic loop characteristics of the DC-DC converters without disturbing the normal mode of operation. A digital pseudo-noise (PN) based stimulus is used to excite the DC-DC system at various circuit nodes to calculate the corresponding closed-loop impulse response. The test signal energy is spread over a wide bandwidth and the signal analysis is achieved by correlating the PN input sequence with the disturbed output generated, thereby accumulating the desired behavior over time. A mixed-signal cross-correlation circuit is used to derive on-chip impulse responses, with smaller memory and lower computational requirement in comparison to a digital correlator approach. Model reference based parametric and non-parametric techniques are discussed to analyze the impulse response results in both time and frequency domain. The proposed techniques can extract open-loop phase margin and closed-loop unity-gain frequency within 5.2% and 4.1% error, respectively, for the load current range of 30-200mA. Converter parameters such as natural frequency (ω_n ), quality factor (Q), and center frequency (ω_c ) can be estimated within 3.6%, 4.7%, and 3.8% error respectively, over load inductance of 4.7-10.3µH, and filter capacitance of 200-400nF. A 5-MHz switching frequency, 5-8.125V input voltage range, voltage-mode controlled DC-DC buck converter is designed for the proposed built-in self-test (BIST) analysis. The converter output voltage range is 3.3-5V and the supported maximum load current is 450mA. The peak efficiency of the converter is 87.93%. The proposed converter is fabricated on a 0.6µm 6-layer-metal Silicon-On-Insulator (SOI) technology with a die area of 9mm^2 . The area impact due to the system identification blocks including related I/O structures is 3.8% and they consume 530µA quiescent current during operation.Dissertation/ThesisDoctoral Dissertation Electrical Engineering 201