Browsing by Subject "Gain"
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Item An assessment of the GPS L5 signal based on multiple vendor receivers(2011-12) Smyers, Serena Ashley; Schutz, Bob E.; Kerkhoff, AaronThe L5 signal of the Global Positioning System (GPS) is becoming available on an increasing number of Block IIF satellites. As the third civilian signal, L5 is superior in signal design to the L1 C/A and L2C civilian signals. This new signal has been marked healthy for use on selected satellites since 2010, yet the hardware capable of tracking the L5 signal is still in the early stages of development. This work investigates the characteristics of the new signal and the quality of data produced by L5-tracking receivers. Commonly used receiver models chosen for this study are the Leica GRX1200+GNSS, the Trimble NetR8, and the Javad Delta TRE-G3TH. The metrics used in this analysis to assess the quality of data produced by these receivers are signal strength, receiver phase noise, receiver code noise, and multipath. The data used in these analyses were obtained from the International GNSS Service for the days of the year 275 to 281 in 2011. Metrics averaged over the GPS week 1656 provide a good indication of the overall performance of the receivers.Item Development of linear capacitance-resistance models for characterizing waterflooded reservoirs(2011-12) Kim, Jong Suk; Edgar, Thomas F.; Lake, Larry W.The capacitance-resistance model (CRM) has been continuously improved and tested on both synthetic and real fields. For a large waterflood, with hundreds of injectors and producers present in a reservoir, tens of thousands of model parameters (gains, time constants, and productivity indices) in a field must be determined to completely define the CRM. In this case obtaining a unique solution in history-matching large reservoirs by nonlinear regression is difficult. Moreover, this approach is more likely to produce parameters that are statistically insignificant. The nonlinear nature of the CRM also makes it difficult to quantify the uncertainty in model parameters. The analytical solutions of the two linear reservoir models, the linearly transformed CRM whose control volume is the drainage volume around each producer (ltCRMP) and integrated capacitance-resistance model (ICRM), are developed in this work. Both models are derived from the governing differential equation of the producer-based representation of CRM (CRMP) that represents an in-situ material balance over the effective pore volume of a producer. The proposed methods use a constrained linear multivariate regression (LMR) to provide information about preferential permeability trends and fractures in a reservoir. The two models’ capabilities are validated with simulated data in several synthetic case studies. The ltCRMP and ICRM have the following advantages over the nonlinear waterflood model (CRMP): (1) convex objective functions, (2) elimination of the use of solver when constraints are ignored, and (3) faster computation time in optimization. In both methods, a unique solution can always be obtained regardless of the number of parameters as long as the number of data points is greater than the number of unknowns (parameters). The methods of establishing the confidence limits on CRMP gains and ICRM parameters are demonstrated in this work. This research also presents a method that uses the ICRM to estimate the gains between newly introduced injectors and existing producers for a homogeneous reservoir without having to do additional simulations or regression on newly simulated data. This procedure can guide geoscientists to decide where to drill new injectors to increase future oil recovery and provide rapid solutions without having to run reservoir simulations for each scenario.Item Digitally assisted test methodology for RF receivers(2012-12) Zeidan, Mohamad A.; Abraham, Jacob A.; Gharpurey, Ranjit; Banerjee, Gaurab; Sengupta, Susanta; Tewfik, Ahmed H; Touba, Nur AAddressing the high cost of RF instrumentation has motivated significant research activity, where researchers have proposed various non-standard and alternative test methods of RF circuits to mitigate high test cost. This dissertation describes a test methodology for RF receivers, whereby simple digital circuits comprise the core of the otherwise complex and costly broadband RF/analog signal generation. The proposed test methodology relies on a digital clock, commonly available to RF ICs for the purpose of digital communication, to generate the broadband RF stimulus needed for the receiver analog tests. The test method also utilizes commonly available baseband signal digitization (on-chip or off-chip) to acquire the baseband signal. It then relies on sophisticated, but inexpensive, signal processing to extract and compute standard RF performance parameters, like gain, noise figure (NF), and input-referred third-order intercept point (IIP3). In addition, the test method can extract important baseband (BB) parameters like the BB filter 3 dB bandwidth (BW), filter rejection at specific BB frequencies, or the BB filter profile. The motivation behind the proposed test methodology can be categorized as both architectural and cost reduction-oriented. Architecturally, the proposed test method aims at shifting the complexity involved in the test of RF receivers from the hardware (input) RF signal generation side to the signal processing done on the (output) baseband side. The process of shifting the complexity from the hardware design side to the signal processing side involves significant complex and sophisticated analysis, which is part of this dissertation. Cost-wise, the proposed test methodology enables the use of digital automatic test equipment (ATE) with limited baseband capability, instead of the full standard RF testers. Such a step reduces the initial tester cost and impacts the cost/sec figure spent on test for the life of the ATE tester, thus leading to test cost reduction.Item Loss compensation in a plasmonic nanoparticle array(2013-05) Miller, Shannon Marie; Alú, AndreaThe problem of heavy material and radiative losses in plasmonic devices has held back their implementation for compact and high-speed data storage and interconnects. One of the most interesting solutions to this problem currently under exploration is the addition of a gain material in close proximity to the metallic nanostructures for loss compensation. Here the physics of light transport in a nanoparticle array, and the operation of gain media in contact with the structure, are described and analytically modeled. A two-dimensional array of closely spaced gold nanoparticles has been fabricated by focused ion beam milling, and its electromagnetic response in the presence or absence of a dye coating has been simulated in preparation for pump-probe optical testing. The compensation of losses via a fluorophore coating has been proven for the first time in this geometry, for a physically realized sample.