Low harmonic distortion flash A/D converters incorporating dynamic element matching techniques

New dynamic element matching techniques are shown to reduce the harmonic distortion and improve the spurious-free dynamic range of flash ADCs. Resistor chain mismatch errors are negated by randomly rearranging the resistors each sample by utilizing 5(2{dollar}\sp{b}{dollar}-1) digital switches and b + 1 random control signals for a b-bit flash ADC. The integral and differential nonlinearity of a non-ideal flash ADC are derived for three common resistor chain mismatch errors; namely, geometric mismatches, linear gradient mismatches, and dynamic mismatches. The transfer function of a non-ideal flash ADC is also derived and the converter output is shown to consist of a scaled copy of the input, a DC gain, and conversion noise that is a function of the resistor mismatches. A comprehensive summary of dynamic element matching techniques given in literature is provided. In addition, the DEM network introduced by Galton and Jensen is shown to be equivalent to the generalized-cube network used in parallel processing architectures. An alternative version of this network that uses logic gates is also proposed

A built-in self-test technique for high speed analog-to-digital converters

Fundação para a Ciência e a Tecnologia (FCT) - PhD grant (SFRH/BD/62568/2009

Microwave resonant sensors

Microwave resonant sensors use the spectral characterisation of a resonator to make high sensitivity measurements of material electromagnetic properties at GHz frequencies. They have been applied to a wide range of industrial and scientific measurements, and used to study a diversity of physical phenomena. Recently, a number of challenging dynamic applications have been developed that require very high speed and high performance, such as kinetic inductance detectors and scanning microwave microscopes. Others, such as sensors for miniaturised fluidic systems and non-invasive blood glucose sensors, also require low system cost and small footprint. This thesis investigates new and improved techniques for implementing microwave resonant sensor systems, aiming to enhance their suitability for such demanding tasks. This was achieved through several original contributions: new insights into coupling, dynamics, and statistical properties of sensors; a hardware implementation of a realtime multitone readout system; and the development of efficient signal processing algorithms for the extraction of sensor measurements from resonator response data. The performance of this improved sensor system was verified through a number of novel measurements, achieving a higher sampling rate than the best available technology yet with equivalent accuracy and precision. At the same time, these experiments revealed unforeseen applications in liquid metrology and precision microwave heating of miniature flow systems.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Microwave resonant sensors

Microwave resonant sensors use the spectral characterisation of a resonator to make high sensitivity measurements of material electromagnetic properties at GHz frequencies. They have been applied to a wide range of industrial and scientific measurements, and used to study a diversity of physical phenomena. Recently, a number of challenging dynamic applications have been developed that require very high speed and high performance, such as kinetic inductance detectors and scanning microwave microscopes. Others, such as sensors for miniaturised fluidic systems and non-invasive blood glucose sensors, also require low system cost and small footprint. This thesis investigates new and improved techniques for implementing microwave resonant sensor systems, aiming to enhance their suitability for such demanding tasks. This was achieved through several original contributions: new insights into coupling, dynamics, and statistical properties of sensors; a hardware implementation of a realtime multitone readout system; and the development of efficient signal processing algorithms for the extraction of sensor measurements from resonator response data. The performance of this improved sensor system was verified through a number of novel measurements, achieving a higher sampling rate than the best available technology yet with equivalent accuracy and precision. At the same time, these experiments revealed unforeseen applications in liquid metrology and precision microwave heating of miniature flow systems

Design of clock and data recovery circuits for energy-efficient short-reach optical transceivers

Nowadays, the increasing demand for cloud based computing and social media services mandates higher throughput (at least 56 Gb/s per data lane with 400 Gb/s total capacity 1) for short reach optical links (with the reach typically less than 2 km) inside data centres. The immediate consequences are the huge and power hungry data centers. To address these issues the intra-data-center connectivity by means of optical links needs continuous upgrading. In recent years, the trend in the industry has shifted toward the use of more complex modulation formats like PAM4 due to its spectral efficiency over the traditional NRZ. Another advantage is the reduced number of channels count which is more cost-effective considering the required area and the I/O density. However employing PAM4 results in more complex transceivers circuitry due to the presence of multilevel transitions and reduced noise budget. In addition, providing higher speed while accommodating the stringent requirements of higher density and energy efficiency (< 5 pJ/bit), makes the design of the optical links more challenging and requires innovative design techniques both at the system and circuit level. This work presents the design of a Clock and Data Recovery Circuit (CDR) as one of the key building blocks for the transceiver modules used in such fibreoptic links. Capable of working with PAM4 signalling format, the new proposed CDR architecture targets data rates of 50−56 Gb/s while achieving the required energy efficiency (< 5 pJ/bit). At the system level, the design proposes a new PAM4 PD which provides a better trade-off in terms of bandwidth and systematic jitter generation in the CDR. By using a digital loop controller (DLC), the CDR gains considerable area reduction with flexibility to adjust the loop dynamics. At the circuit level it focuses on applying different circuit techniques to mitigate the circuit imperfections. It presents a wideband analog front end (AFE), suitable for a 56 Gb/s, 28-Gbaud PAM-4 signal, by using an 8x interleaved, master/ slave based sample and hold circuit. In addition, the AFE is equipped with a calibration scheme which corrects the errors associated with the sampling channels’ offset voltage and gain mismatches. The presented digital to phase converter (DPC) features a modified phase interpolator (PI), a new quadrature phase corrector (QPC) and multi-phase output with de-skewing capabilities.The DPC (as a standalone block) and the CDR (as the main focus of this work) were fabricated in 65-nm CMOS technology. Based on the measurements, the DPC achieves DNL/INL of 0.7/6 LSB respectively while consuming 40.5 mW power from 1.05 V supply. Although the CDR was not fully operational with the PAM4 input, the results from 25-Gbaud PAM2 (NRZ) test setup were used to estimate the performance. Under this scenario, the 1-UI JTOL bandwidth was measured to be 2 MHz with BER threshold of 10−4. The chip consumes 236 mW of power while operating on 1 − 1.2 V supply range achieving an energyefficiency of 4.27 pJ/bit

Engineering Education and Research Using MATLAB

MATLAB is a software package used primarily in the field of engineering for signal processing, numerical data analysis, modeling, programming, simulation, and computer graphic visualization. In the last few years, it has become widely accepted as an efficient tool, and, therefore, its use has significantly increased in scientific communities and academic institutions. This book consists of 20 chapters presenting research works using MATLAB tools. Chapters include techniques for programming and developing Graphical User Interfaces (GUIs), dynamic systems, electric machines, signal and image processing, power electronics, mixed signal circuits, genetic programming, digital watermarking, control systems, time-series regression modeling, and artificial neural networks