Matching Items (221)
Description
The world has seen a revolution in cellular communication with the advent of 5G, which enables gigabits per second data speed with low latency, massive capacity, and increased availability. Complex modulated signals are used in these moderncommunication systems to achieve high spectral efficiency, and these signals exhibit high peak to average power ratios (PAPR). Design of cellular infrastructure hardware to support these complex signals therefore becomes challenging, as the transmitter’s radio frequency power amplifier (RF PA) needs to remain highly efficient at both peak and backed off power conditions. Additionally, these PAs should exhibit high linearity and support continually increasing bandwidths. Many advanced PA configurations exhibit high efficiency for processing legacy communications signals. Some of the most popular architectures are Envelope Elimination and Restoration (EER), Envelope Tracking (ET), Linear Amplification using Non-linear Component (LINC), Doherty Power Amplifiers (DPA), and Polar Transmitters. Among these techniques,
the DPA is the most widely used architecture for base-station applications because of its simple configuration and ability to be linearized using simple digital pre-distortion (DPD) algorithms. To support the cellular infrastructure needs of 5G and beyond, RF PAs, specifically DPA architectures, must be further enhanced to support broader bandwidths as well as smaller form-factors with higher levels of integration. The following four novel works are presented in this dissertation to support RF PA requirements for future cellular infrastructure:
1. A mathematical analysis to analyze the effects of non-linear parasitic capacitance (Cds) on the operation of continuous class-F (CCF) mode power amplifiers and identify their optimum operating range for high power and efficiency.
2. A methodology to incorporate a class-J harmonic trapping network inside the PA package by considering the effect of non-linear Cds, thus reducing the DPA footprint while achieving high RF performance.
3. A novel method of synthesizing the DPA’s output combining network (OCN) to realize an integrated two-stage integrated LDMOS asymmetric DPA.
4. A novel extended back-off efficiency range DPA architecture that engineers the mutual interaction between combining load and peaking off-state impedance. The theory and architecture are verified through a GaN-based DPA design.
ContributorsAhmed, Maruf Newaz (Author) / Kitchen, Jennifer (Thesis advisor) / Aberle, James (Committee member) / Bakkaloglu, Bertan (Committee member) / Ozev, Sule (Committee member) / Arizona State University (Publisher)
Created2022
Description
Pan Tilt Traffic Cameras (PTTC) are a vital component of traffic managementsystems for monitoring/surveillance. In a real world scenario, if a vehicle is in pursuit
of another vehicle or an accident has occurred at an intersection causing traffic
stoppages, accurate and venerable data from PTTC is necessary to quickly localize
the cars on a map for adept emergency response as more and more traffic systems are
getting automated using machine learning concepts. However, the position(orientation)
of the PTTC with respect to the environment is often unknown as most of them
lack Inertial Measurement Units or Encoders. Current State Of the Art systems 1.
Demand high performance compute and use carbon footprint heavy Deep Neural
Networks(DNN), 2. Are only applicable to scenarios with appropriate lane markings or
only roundabouts, 3. Demand complex mathematical computations to determine focal
length and optical center first before determining the pose. A compute light approach
"TIPANGLE" is presented in this work. The approach uses the concept of Siamese
Neural Networks(SNN) encompassing simple mathematical functions i.e., Euclidian
Distance and Contrastive Loss to achieve the objective. The effectiveness of the
approach is reckoned with a thorough comparison study with alternative approaches
and also by executing the approach on an embedded system i.e., Raspberry Pi 3.
ContributorsJagadeesha, Shreehari (Author) / Shrivastava, Aviral (Thesis advisor) / Gopalan, Nakul (Committee member) / Arora, Aman (Committee member) / Arizona State University (Publisher)
Created2023
Description
This work presents two balanced power amplifier (PA) architectures, one at X-band and the other at K-band. The presented balanced PAs are designed for use in small satellite and cube satellite applications.The presented X-band PA employs wideband hybrid couplers to split input power to two commercial off-the-shelf (COTS) Gallium Nitride (GaN) monolithic microwave integrated circuit (MMIC) PAs and combine their output powers. The presented X-band balanced PA manufactured on a Rogers 4003C substrate yields increased small signal gain and saturated output power under continuous wave (CW) operation compared to the single MMIC PA used in the design under pulsed operation. The presented PA operates from 7.5 GHz to 11.5 GHz, has a maximum small signal gain of 36.3 dB, a maximum saturated power out of 40.0 dBm, and a maximum power added efficiency (PAE) of 38%.
Both a Wilkinson and a Gysel splitter and combiner are designed for use at K-band and their performance is compared. The presented K-band balanced PA uses Gysel power dividers and combiners with a GaN MMIC PA that is soon to be released in production.
ContributorsPearson, Katherine Elizabeth (Author) / Kitchen, Jennifer (Thesis advisor) / Bakkaloglu, Bertan (Committee member) / Ozev, Sule (Committee member) / Arizona State University (Publisher)
Created2023
Description
Impedance is one of the fundamental properties of electrical components, materials, and waves. Therefore, impedance measurement and monitoring have a wide range of applications. The multi-port technique is a natural candidate for impedance measurement and monitoring due to its low overhead and ease of implementation for Built-in Self-Test (BIST) applications. The multi-port technique can measure complex reflection coefficients, thus impedance, by using scalar measurements provided by the power detectors. These power detectors are strategically placed on different points (ports) of a passive network to produce unique solution. Impedance measurement and monitoring is readily deployed on mobile phone radio-frequency (RF) front ends, and are combined with antenna tuners to boost the signal reception capabilities of phones. These sensors also can be used in self-healing circuits to improve their yield and performance under process, voltage, and temperature variations. Even though, this work is preliminary interested in low-overhead impedance measurement for RF circuit applications, the proposed methods can be used in a wide variety of metrology applications where impedance measurements are already used. Some examples of these applications include determining material properties, plasma generation, and moisture detection. Additionally, multi-port applications extend beyond the impedance measurement. There are applications where multi-ports are used as receivers for communication systems, RADARs, and remote sensing applications. The multi-port technique generally requires a careful design of the testing structure to produce a unique solution from power detector measurements. It also requires the use of nonlinear solvers during calibration, and depending on calibration procedure, measurement. The use of nonlinear solvers generates issues for convergence, computational complexity, and resources needed for carrying out calibrations and measurements in a timely manner. In this work, using periodic structures, a structure where a circuit block repeats itself, for multi-port measurements is proposed. The periodic structures introduce a new constraint that simplifies the multi-port theory and leads to an explicit calibration and measurement procedure. Unlike the existing calibration procedures which require at least five loads and various constraints on the load for explicit solution, the proposed method can use three loads for calibration. Multi-ports built with periodic structures will always produce a unique measurement result. This leads to increased bandwidth of operation and simplifies design procedure. The efficacy of the method demonstrated in two embodiments.
In the first embodiment, a multi-port is directly embedded into a matching network to measure impedance of the load.
In the second embodiment, periodic structures are used to compare two loads without requiring any calibration.
ContributorsAvci, Muslum Emir (Author) / Ozev, Sule (Thesis advisor) / Bakkaloglu, Bertan (Committee member) / Kitchen, Jennifer (Committee member) / Trichopoulos, Georgios (Committee member) / Arizona State University (Publisher)
Created2023
Description
Modern-day automobiles are becoming more connected and reliant on wireless connectivity. Thus, automotive electronics can be both a cause of and highly sensitive to electromagnetic interference (EMI), and the consequences of failure can be fatal. Technology advancements in engineering have brought several features into the automotive field but at the expense of electromagnetic compatibility issues. Automotive EMC problems are the result of the emissions from electronic assemblies inside a vehicle and the susceptibility of the electronics when exposed to external EMI sources. In both cases, automotive EMC problems can cause unintended changes in the automotive system operation. Robustness to electromagnetic interference (EMI) is one of the primary design aspects of state-of-the-art automotive ICs like System Basis Chips (SBCs) which provide a wide range of analog, power regulation and digital functions on the same die. One of the primary sources of conducted EMI on the Local Interconnect Network (LIN) driver output is an integrated switching DC-DC regulator noise coupling through the parasitic substrate capacitance of the SBC. In this dissertation an adaptive active EMI cancellation technique to cancel the switching noise of the DC-DC regulator on the LIN driver output to ensure electromagnetic compatibility (EMC) is presented. The proposed active EMI cancellation circuit synthesizes a phase synchronized cancellation pulse which is then injected onto the LIN driver output using an on-chip tunable capacitor array to cancel the switching noise injected via the substrate. The proposed EMI reduction technique can track and cancel substrate noise independent of process technology and device parasitics, input voltage, duty cycle, and loading conditions of the DC-DC switching regulator. The EMI cancellation system is designed and fabricated on a 180nm Bipolar-CMOS-DMOS (BCD) process with an integrated power stage of a DC-DC buck regulator at a switching frequency of 2MHz along with an automotive LIN driver. The EMI cancellation circuit occupies an area of 0.7 mm2, which is less than 3% of the overall area in a standard SBC and consumes 12.5 mW of power and achieves 25 dB reduction of conducted EMI in the LIN driver output’s power spectrum at the switching frequency and its harmonics.
ContributorsRay, Abhishek (Author) / Bakkaloglu, Bertan (Thesis advisor) / Garrity, Douglas (Committee member) / Kitchen, Jennifer (Committee member) / Seo, Jae-Sun (Committee member) / Arizona State University (Publisher)
Created2023
Description
5G Millimeter Wave (mmWave) technology holds great promise for Connected Autonomous Vehicles (CAVs) due to its ability to achieve data rates in the Gbps range. However, mmWave suffers high beamforming overhead and requirement of line of sight (LOS) to maintain a strong connection. For Vehicle-to-Infrastructure (V2I) scenarios, where CAVs connect to roadside units (RSUs), these drawbacks become apparent. Because vehicles are dynamic, there is a large potential for link blockages, which in turn is detrimental to the connected applications running on the vehicle, such as cooperative perception and remote driver takeover. Existing RSU selection schemes base their decisions on signal strength and vehicle trajectory alone, which is not enough to prevent the blockage of links. Most recent CAVs motion planning algorithms routinely use other vehicle's near-future plans, either by explicit communication among vehicles, or by prediction. In this thesis, I make use of this knowledge (of the other vehicle's near future path plans) to further improve the RSU association mechanism for CAVs. I solve the RSU association problem by converting it to a shortest path problem with the objective to maximize the total communication bandwidth.
Evaluations of B-AWARE in simulation using Simulated Urban Mobility (SUMO) and Digital twin for self-dRiving Intelligent VEhicles (DRIVE) on 12 highway and city street scenarios with varying traffic density and RSU placements show that B-AWARE results in a 1.05x improvement of the potential datarate in the average case and 1.28x in the best case vs. the state of the art. But more impressively, B-AWARE reduces the time spent with no connection by 48% in the average case and 251% in the best case as compared to the state-of-the-art methods. This is partly a result of B-AWARE reducing almost 100% of blockage occurrences in simulation.
ContributorsSzeto, Matthew (Author) / Shrivastava, Aviral (Thesis advisor) / LiKamWa, Robert (Committee member) / Meuth, Ryan (Committee member) / Arizona State University (Publisher)
Created2023
Description
Recent advances in autonomous vehicle (AV) technologies have ensured that autonomous driving will soon be present in real-world traffic. Despite the potential of AVs, many studies have shown that traffic accidents in hybrid traffic environments (where both AVs and human-driven vehicles (HVs) are present) are inevitable because of the unpredictability of human-driven vehicles. Given that eliminating accidents is impossible, an achievable goal of designing AVs is to design them in a way so that they will not be blamed for any accident in which they are involved in. This work proposes BlaFT – a Blame-Free motion planning algorithm in hybrid Traffic. BlaFT is designed to be compatible with HVs and other AVs, and will not be blamed for accidents in a structured road environment. Also, it proves that no accidents will happen if all AVs are using the BlaFT motion planner and that when in hybrid traffic, the AV using BlaFT will be blame-free even if it is involved in a collision. The work instantiated scores of BlaFT and HV vehicles in an urban road scape loop in the 'Simulation of Urban MObility', ran the simulation for several hours, and observe that as the percentage of BlaFT vehicles increases, the traffic becomes safer. Adding BlaFT vehicles to HVs also increases the efficiency of traffic as a whole by up to 34%.
ContributorsPark, Sanggu (Author) / Shrivastava, Aviral (Thesis advisor) / Wang, Ruoyu (Committee member) / Yang, Yezhou (Committee member) / Arizona State University (Publisher)
Created2022
Description
Many companies face pressure to deploy flexible compute infrastructures to manage their operations. However, the current developments in cloud and edge computing have created a data processing asymmetry challenge. On the edge, workloads frequently require low-latency responses, contend with connectivity and bandwidth instabilities, may require privacy guarantees, and may perform under limited or high-variance compute resources. In the cloud, workloads tolerate longer latency, expect highly available infrastructure, access high-performance compute resources, and have more power available, but may be further from where the processing results are needed. This compute asymmetry challenge requires a new computational paradigm. In this work, I advance a new computing architecture model, called the Continuum Computing Architecture (CCA), and validate this model with a candidate architecture. CCA is a unifying edge-fog-cloud computing model that provides the following capabilities: (i) a continuum of compute that spans from network-connected edge devices to the cloud – with very low power consumption to high-performance compute; (ii) same architecture with different micro-architectures along this compute continuum – a single RISC-V instruction set architecture with reconfigurable processing units; (iii) portability across all scales – the same program can be run across the continuum with different latencies and power utilizations; and (iv) secure shared memory features are fully-supported – physical memories along the continuum are abstracted to allow edge and cloud to share data in a transparent fashion. The validating architecture has three micro-architectures. The edge micro-architecture, Parmenides, targets accelerator-based edge processing system-on-chips (SoCs). Parmenides includes security features to protect the SoC in uncontrolled environments while adapting its power usage and processing to ambient events. The fog and cloud micro-architectures, Melissus and Zeno, must support application data distribution across the memory of many compute nodes to achieve the desired scale and performance. As a solution, I introduce the Eleatic Memory Model (EMM): a global shared memory architecture with hardware-supported global memory access permissions. All memory accesses are made with a Namespace-based capability scheme that supports improved scalability and memory security. The CCA model addresses several memory-centric security challenges including the misuse of resources, risk to application and data integrity, as well as concerns over authorization and confidentiality.
ContributorsEhret, Alan (Author) / Kinsy, Michel A (Thesis advisor) / Vrudhula, Sarma (Committee member) / Shrivastava, Aviral (Committee member) / Rudd, Kevin (Committee member) / Gettings, Karen (Committee member) / Arizona State University (Publisher)
Created2022
Description
Coarse-grain reconfigurable architectures (CGRAs) have shown significant improvements as hardware accelerator whilst demanding low power. Such acceleration inherits from the nature of instruction-level parallelism and exploited by many techniques. Modulo scheduling is a popular approach to software pipelining techniques that provides an efficient heuristic to accelerations on loops, repetitive regions of an application. Existing scheduling algorithms for modulo scheduling heuristic persist on loop exiting problems that limit CGRA acceleration to only loops with known trip count and no exit statements. Another notable limitation is the early exit problem, where loops can only terminate after certain iterations as CGRA moves to kernel stage. In attempts to circumvent such obstacles, COMSAT introduces a modified modulo scheduling technique that acts as an external module and can be applied to any existing scheduling/mapping algorithms with minimal hardware changes. Experiments from MiBench and Rodinia benchmark suites have shown that COMSAT achieved an average speedup of 3x in overall benchmarks and 10x speedup in kernel regions. Without COMSAT techniques, only 25% of said loops would have been able to accelerate, reducing benchmark and kernel speedups to 1.25x and 3.63x respectively.
ContributorsTa, Vinh (Author) / Shrivastava, Aviral (Thesis advisor) / Chakrabarti, Chaitali (Committee member) / Kinsey, Michel (Committee member) / Arizona State University (Publisher)
Created2022
Description
Three models have been created to visualize and characterize the voltage response of a standing wave accelerating cavity system. These models are generalized to fit any cavity with known values of the quality factor, coupling factor, and resonant frequency but were applied to the Arizona State Universities Compact X-ray Free Electron Laser. To model these systems efficiently, baseband I and Q measurements were used to eliminate the modeling of high frequencies. The three models discussed in this paper include a single standing wave cavity, two cavities coupled through a 3dB quadrature hybrid, and a pulse compression system. The second model on two coupled cavities will demonstrate how detuning will impact two cavities with the same RF source split through a hybrid. The pulse compression model will be used to demonstrate the impact of feeding pulse compression into a standing wave cavity. The pulse compressor will demonstrate more than a 50\% increase of the voltage inside the cavity.
ContributorsFalconer, Jasmin (Author) / Graves, William (Thesis director) / Kitchen, Jennifer (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2023-05