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- All Subjects: Simultaneous Transmit and Receive Antennas
Description
Mobile platforms are becoming highly heterogeneous by combining a powerful multiprocessor system-on-chip (MpSoC) with numerous resources including display, memory, power management IC (PMIC), battery and wireless modems into a compact package. Furthermore, the MpSoC itself is a heterogeneous resource that integrates many processing elements such as CPU cores, GPU, video, image, and audio processors. As a result, optimization approaches targeting mobile computing needs to consider the platform at various levels of granularity.
Platform energy consumption and responsiveness are two major considerations for mobile systems since they determine the battery life and user satisfaction, respectively. In this work, the models for power consumption, response time, and energy consumption of heterogeneous mobile platforms are presented. Then, these models are used to optimize the energy consumption of baseline platforms under power, response time, and temperature constraints with and without introducing new resources. It is shown, the optimal design choices depend on dynamic power management algorithm, and adding new resources is more energy efficient than scaling existing resources alone. The framework is verified through actual experiments on Qualcomm Snapdragon 800 based tablet MDP/T. Furthermore, usage of the framework at both design and runtime optimization is also presented.
Platform energy consumption and responsiveness are two major considerations for mobile systems since they determine the battery life and user satisfaction, respectively. In this work, the models for power consumption, response time, and energy consumption of heterogeneous mobile platforms are presented. Then, these models are used to optimize the energy consumption of baseline platforms under power, response time, and temperature constraints with and without introducing new resources. It is shown, the optimal design choices depend on dynamic power management algorithm, and adding new resources is more energy efficient than scaling existing resources alone. The framework is verified through actual experiments on Qualcomm Snapdragon 800 based tablet MDP/T. Furthermore, usage of the framework at both design and runtime optimization is also presented.
ContributorsGupta, Ujjwala (Author) / Ogras, Umit Y. (Thesis advisor) / Ozev, Sule (Committee member) / Chakrabarti, Chaitali (Committee member) / Arizona State University (Publisher)
Created2014
Description
The Built-In Self-Test for Simultaneous Transmit and Receive (BIST for STAR) will be able to solve the challenges of transmitting and receiving at the same time at the same frequency. One of the major components is the STAR antenna which transmits and receives along the same pathway. The main problem with doing both on the same path is that the transmit signal is usually much stronger in power compared to the received signal. The transmit signal has echoes and leakages that cause self-interference, preventing the received signal from being properly obtained. The solution developed in this project is the BIST component, which will help calculate the functional gain and phase offset of the interference signal and subtract it from the pathway so that the received signal remains. The functions of the proposed circuit board can be modeled in Matlab, where an emulation code generates a random, realistic functional gain and delay for the interference. From the generated values, the BIST for STAR was simulated to output what the measurements would be given the strength of the input signal and a controlled delay. The original Matlab code models an ideal environment directly recalculating the functional gain and phase from the given measurements in a second Matlab script. The actual product will not be ideal; a possible source of error to be considered is the effect of thermal noise. To observe the effect of noise on the BIST for STAR's performance, the Matlab code was expanded upon to include a component for thermal noise, and a method of analyzing the results of the board.
ContributorsLiu, Jennifer Yuan (Author) / Ozev, Sule (Thesis director) / Kozicki, Michael (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The capstone portion of this project was to use the established STaR antennas and add a Built in Self-Test system to ensure the quality of the signals being received. This part of the project required a MatLab simulation to be built, a layout created, and a PCB designed for fabrication. In theory, the test BiST unit will allow the gain and delay of the transmitted signal and then cancel out unneeded interference for the received signal. However, this design required multiple paths to maintain the same lengths to keep the signals in phase for comparison. The purpose of this thesis is to show the potential drop-offs of the quality of the signals from being out of phase due to the wires that should be similar, being off by a certain percentage. This project will calculate the theoretical delay of all wires being out of sync and then add this delay to the established MatLab simulation. This report will show the relationship between the error of the received variables and what the actual generated values. And, the last part of the document will demonstrate the simulation by creating a signal and comparing it to its received counterpart. The end result of the study showed that the percent error between what is seen and what is expected is near insignificant and, hence, not an issue with regards to the quality of the project.
ContributorsSomers, Tyler Scott (Author) / Ozev, Sule (Thesis director) / Kozicki, Michael (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The purpose of the Simultaneous Transmit and Receive Antenna project is to design a test circuit that will allow us to use an antenna to both send out and receive a signal at the same time on the same frequency. The test circuit will generate DC voltage levels that we can use to solve for the gain and delay of the transmit interference, so we will then be able to cancel out the unwanted signal from the received signal. With a theoretically perfect setup, the transmitted signal will be able to be completely isolated from the received signal, leaving us with only what we want at the output. In practice, however, this is not the case. There are many variables that will affect the integrity of the DC output of the test signal. As the output voltage level deviates from its theoretical perfect measurement, the precision to which we are able to solve for the gain and delay values decreases. The focus of this study is to estimate the effect of using a digital measurement tool to measure the output of the test circuit. Assuming a voltmeter with 1 volt full range, simulations were run using measurements stored at different bit resolutions, from 8-bit storage up to 16-bit storage. Since the physical hardware for the Simultaneous Transmit and Receive test circuit is not currently available, these tests were performed with an edited version of the Matlab simulation created for the Senior Design project. The simulation was run 2000 times over each bit resolution to get a wide range of generated values, then the error from each run was analyzed to come to a conclusion on the effect of the digital measurement on the design. The results of these simulations as well as further details of the project and testing are described inside this document.
ContributorsKral, Brandon Michael (Author) / Ozev, Sule (Thesis director) / Kozicki, Michael (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The manufacturing process for electronic systems involves many players, from chip/board design and fabrication to firmware design and installation.
In today's global supply chain, any of these steps are prone to interference from rogue players, creating a security risk.
Manufactured devices need to be verified to perform only their intended operations since it is not economically feasible to control the supply chain and use only trusted facilities.
It is becoming increasingly necessary to trust but verify the received devices both at production and in the field.
Unauthorized hardware or firmware modifications, known as Trojans,
can steal information, drain the battery, or damage battery-driven embedded systems and lightweight Internet of Things (IoT) devices.
Since Trojans may be triggered in the field at an unknown instance,
it is essential to detect their presence at run-time.
However, it isn't easy to run sophisticated detection algorithms on these devices
due to limited computational power and energy, and in some cases, lack of accessibility.
Since finding a trusted sample is infeasible in general, the proposed technique is based on self-referencing to remove any effect of environmental or device-to-device variations in the frequency domain.
In particular, the self-referencing is achieved by exploiting the band-limited nature of Trojan activity using signal detection theory.
When the device enters the test mode, a predefined test application is run on the device
repetitively for a known period. The periodicity ensures that the spectral electromagnetic power of the test application concentrates at known frequencies, leaving the remaining frequencies within the operating bandwidth at the noise level. Any deviations from the noise level for these unoccupied frequency locations indicate the presence of unknown (unauthorized) activity. Hence, the malicious activity can differentiate without using a golden reference or any knowledge of the Trojan activity attributes.
The proposed technique's effectiveness is demonstrated through experiments with collecting and processing side-channel signals, such as involuntarily electromagnetic emissions and power consumption, of a wearable electronics prototype and commercial system-on-chip under a variety of practical scenarios.
In today's global supply chain, any of these steps are prone to interference from rogue players, creating a security risk.
Manufactured devices need to be verified to perform only their intended operations since it is not economically feasible to control the supply chain and use only trusted facilities.
It is becoming increasingly necessary to trust but verify the received devices both at production and in the field.
Unauthorized hardware or firmware modifications, known as Trojans,
can steal information, drain the battery, or damage battery-driven embedded systems and lightweight Internet of Things (IoT) devices.
Since Trojans may be triggered in the field at an unknown instance,
it is essential to detect their presence at run-time.
However, it isn't easy to run sophisticated detection algorithms on these devices
due to limited computational power and energy, and in some cases, lack of accessibility.
Since finding a trusted sample is infeasible in general, the proposed technique is based on self-referencing to remove any effect of environmental or device-to-device variations in the frequency domain.
In particular, the self-referencing is achieved by exploiting the band-limited nature of Trojan activity using signal detection theory.
When the device enters the test mode, a predefined test application is run on the device
repetitively for a known period. The periodicity ensures that the spectral electromagnetic power of the test application concentrates at known frequencies, leaving the remaining frequencies within the operating bandwidth at the noise level. Any deviations from the noise level for these unoccupied frequency locations indicate the presence of unknown (unauthorized) activity. Hence, the malicious activity can differentiate without using a golden reference or any knowledge of the Trojan activity attributes.
The proposed technique's effectiveness is demonstrated through experiments with collecting and processing side-channel signals, such as involuntarily electromagnetic emissions and power consumption, of a wearable electronics prototype and commercial system-on-chip under a variety of practical scenarios.
ContributorsKarabacak, Fatih (Author) / Ozev, Sule (Thesis advisor) / Ogras, Umit Y. (Thesis advisor) / Christen, Jennifer Blain (Committee member) / Kitchen, Jennifer (Committee member) / Arizona State University (Publisher)
Created2020