Modeling of Substrate Noise Effects in Dynamic CMOS Circuits

The decrease in the feature size has led to the integration of both digital and analog circuits on the same silicon die which has led to many crosstalk issues. The crosstalk due to the substrate interactions also plagiarizes complete digital systems. This paper lays emphasis on this fact and because of the vulnerability of dynamic CMOS circuits to noise; a brief study of the effects of substrate variations on the performance of the dynamic CMOS circuits is carried out in this paper. The effects of substrate noise at very high frequencies (above 10 GHz) are also depicted in this paper. In order to accurately estimate the effects of substrate noise a substrate model is proposed and verified for functionality in the last section of this paper

Multiple channel crosstalk removal using limited connectivity neural networks

Limited connectivity neural network architectures are investigated for the removal of crosstalk in systems using mutually overlapping sub-channels for the communication of multiple signals, either analogue or digital. The crosstalk error is modelled such that a fixed proportion of the signals in adjacent channels is added to the main signal. Different types of neural networks, trained using gradient descent algorithms, are tested as to their suitability for reducing the errors caused by a combination of crosstalk and additional gaussian noise. In particular we propose a single layer limited connectivity neural network since it promises to be the most easily implemented in hardware. A variable gain neuron structure is described which can be used for both analogue and digital data

Performance and characterization of the SPT-3G digital frequency-domain multiplexed readout system using an improved noise and crosstalk model

The third generation South Pole Telescope camera (SPT-3G) improves upon its predecessor (SPTpol) by an order of magnitude increase in detectors on the focal plane. The technology used to read out and control these detectors, digital frequency-domain multiplexing (DfMUX), is conceptually the same as used for SPTpol, but extended to accommodate more detectors. A nearly 5x expansion in the readout operating bandwidth has enabled the use of this large focal plane, and SPT-3G performance meets the forecasting targets relevant to its science objectives. However, the electrical dynamics of the higher-bandwidth readout differ from predictions based on models of the SPTpol system. To address this, we present an updated derivation for electrical crosstalk in higher-bandwidth DfMUX systems, and identify two previously uncharacterized contributions to readout noise. The updated crosstalk and noise models successfully describe the measured crosstalk and readout noise performance of SPT-3G, and suggest improvements to the readout system for future experiments using DfMUX, such as the LiteBIRD space telescope

Printed circuit board power distribution network modeling, analysis and design, and, statistical crosstalk analysis for high speed digital links

High-speed digital systems are moving to higher data rates and smaller supply voltages as the scale of integration goes smaller. With the smaller bit periods and the smaller operating voltages, the tolerable timing and noise margins are reducing. There are many sources of disturbances contributing to the tolerance margins. These margins have to account for inter symbol interference (ISI), reflections, jitter, noise from power distribution networks (PDN) and crosstalk. An important task during the design phase of the system is to find and mitigate the noise from such sources. This thesis proposes modeling and analysis methodology to resolve some of the problems while proposing relevant design methodologies to reduce the system design cycles. PDN design forms a critical part of a high-speed digital design to provide a low-noise power supply to the integrated circuits (ICs) within some peak voltage ripple for normal functioning. Switching of transistors in the IC leads to a high-frequency current draw and generates the simultaneous switching noise (SSN), which propagates along the PDN from the chip to the PCB and causes several EMI and SI problems. A physics-based modeling approach for PCB PDN is proposed which is used for analysis and design guideline development. A design methodology is developed which guides the designer to make better design decisions, knowing the impact on PDN performance without the use of full-wave tools. Crosstalk forms a critical part of the budget, and if ignored, can lead to design failures. A statistical method to find the distribution of crosstalk at the victim using the single bit response principle is proposed. The methodology is extended to multiple-aggressor system, and, can be used to identify worst case crosstalk and find dominant crosstalk contributors in a system. --Abstract, page iii

Adaptive Importance Sampling for Performance Evaluation and Parameter Optimization of Communication Systems

We present new adaptive importance sampling techniques based on stochastic Newton recursions. Their applicability to the performance evaluation of communication systems is studied. Besides bit-error rate (BER) estimation, the techniques are used for system parameter optimization. Two system models that are analytically tractable are employed to demonstrate the validity of the techniques. As an application to situations that are analytically intractable and numerically intensive, the influence of crosstalk in a wavelength-division multiplexing (WDM) crossconnect is assessed. In order to consider a realistic system model, optimal setting of thresholds in the detector is carried out while estimating error rate performances. Resulting BER estimates indicate that the tolerable crosstalk levels are significantly higher than predicted in the literature. This finding has a strong impact on the design of WDM networks. Power penalties induced by the addition of channels can also be accurately predicted in short run-time

Exploring More-Coherent Quantum Annealing

In the quest to reboot computing, quantum annealing (QA) is an interesting candidate for a new capability. While it has not demonstrated an advantage over classical computing on a real-world application, many important regions of the QA design space have yet to be explored. In IARPA's Quantum Enhanced Optimization (QEO) program, we have opened some new lines of inquiry to get to the heart of QA, and are designing testbed superconducting circuits and conducting key experiments. In this paper, we discuss recent experimental progress related to one of the key design dimensions: qubit coherence. Using MIT Lincoln Laboratory's qubit fabrication process and extending recent progress in flux qubits, we are implementing and measuring QA-capable flux qubits. Achieving high coherence in a QA context presents significant new engineering challenges. We report on techniques and preliminary measurement results addressing two of the challenges: crosstalk calibration and qubit readout. This groundwork enables exploration of other promising features and provides a path to understanding the physics and the viability of quantum annealing as a computing resource.Comment: 7 pages, 3 figures. Accepted by the 2018 IEEE International Conference on Rebooting Computing (ICRC

Fibre segment interferometry using code-division multiplexed optical signal processing for strain sensing applications

A novel optical signal processing scheme for multiplexing fibre segment interferometers is proposed. The continuous-wave, homodyne technique combines code-division multiplexing with single-sideband modulation. It uses only one electro-optic phase modulator to achieve both range separation and quadrature interferometric phase measurement. This scheme is applied to fibre segment interferometry, where a number of long-gauge length interferometric fibre sensors are formed by subtracting pairs of signals from equidistantly placed, weak back reflectors. In this work we give a detailed account of the signal processing involved and, in particular, explore aspects such as electronic bandwidth requirements, noise, crosstalk and linearity, which are important design considerations. A signal bandwidth of ±20 kHz permits the resolution of phase change rates of 2.5 × 104 rad s-1 for each of the four 16.5 m long segments in our setup. We show that dynamic strain resolutions below 0.2 nanostrain Hz-0.5 at 2 m sensor gauge length are achievable, even with an inexpensive diode laser. When used in applications that require only relative strain change measurements, this scheme compares well to more established techniques and can provide high-fidelity yet cost-effective measurements