Global Navigation Satellite Systems (GNSS) provide critical positioning, navigation, and timing (PNT) services across various sectors. GNSS signals are weak when they reach Earth from Medium Earth Orbit (MEO), making them vulnerable to jamming. The jamming threat has been growing over the past decade, putting critical services at risk. In response, the National Space-Based PNT Advisory Board and the White House advocate for policies and technologies to protect, toughen, and augment GPS for a more resilient PNT. Time-sequential estimation improves navigation accuracy and allows for the augmentation of GNSS with other difficult-to-interfere sensors. Safety-critical navigation applications (e.g., GNSS/INS-based aircraft localization) that use time-sequential estimation require high-integrity measurement error time correlation models to compute estimation error bounds. In response, two new methods to identify high-integrity measurement error time correlation models from experimental data are developed and evaluated in this thesis. As opposed to bounding autocorrelation functions in the time domain and power spectra in the frequency domain, methods proposed in this thesis use bounding of lagged product distributions in the time domain and scaled periodogram distributions in the frequency domain. The proposed methods can identify tight-bounding models from empirical data, resulting in tighter estimation error bounds. The sample distributions are bound using theoretical First-order Gauss-Markov process (FOGMP) model distributions derived in this thesis. FOGMP models provide means to account for error time correlation while being easily incorporated into linear estimators. The two methods were evaluated using simulated and experimental GPS measurement error data collected in a mild multipath environment. To protect and alert GNSS end users of jamming, this thesis proposes and evaluates an autonomous algorithm to detect jamming using publicly available data from large receiver networks. The algorithm uses carrier-to-noise ratio (C/N0)-based jamming detectors that are optimal, self-calibrating, receiver-independent, and while adhering to a predefined false alert rate. This algorithm was tested using data from networks with hundreds of receivers, revealing patterns indicative of intentional interference, which provided an opportunity to validate the detector. This validation activity, described in this thesis, consists of designing a portable hardware setup, deriving an optimal power-based jamming monitor for independent detection, and time-frequency analysis of wideband RF (WBRF) data collected during jamming events. The analysis of the WBRF data from a genuine jamming event detected while driving on I-25 in Denver, Colorado, USA, revealed power variations resembling a personal privacy device (PPD), validating the C/N0 detector's result. Finally, this thesis investigates the cause of recurring false alerts in our power-based jamming detectors. These false alerts are caused by a few short pulses of power increases, which other researchers also observe. The time-frequency analysis of signals from the pulses revealed binary data encoded using frequency shift keying (FSK) in the GPS L1 band. Various experiments confirmed the signals are not aliases of out-of-band signals. A survey of similar encoded messages identified the source as car key fobs and other devices transmitting at 315 MHz, nowhere near the GPS L1 band, with an unattenuated 5$^{th}$ harmonic in the GPS L1 band. The RF emission regulations were analyzed to identify mitigation. / Doctor of Philosophy / Global Navigation Satellite Systems (GNSS) have become integral to modern-day life. Many essential services rely on GNSS-provided Positioning, Navigation, and Timing (PNT) services; power grids rely on accurate GNSS-provides timing for synchronization; stock markets use them for time-stamping trades; aircraft and ships use GNSS to correct accumulated position errors regularly; to name a few. In addition, the availability of cheap and accessible PNT services combined with mobile internet spawned new service sectors through mobile applications. A 2019 study published by the National Institute of Standards and Technology (NIST) estimates that GPS has generated $1.4 trillion in U.S. economic benefits since the system became available in the 1980s. With the wide adoption of GNSS services comes new motives for interference. These motives can range from delivery workers and truck drivers trying to hide their location from their employers to something more nefarious, such as criminals trying to evade law enforcement surveillance. GNSS jamming is a type of interference in which the attacker drowns out the faint GNSS signals, broadcast from medium Earth Orbit (MEO) at 20,000 km, with a powerful RF transmitter. Some commonly used devices are transmitters are cheaply available for as low as $10 on Amazon, known as personal privacy devices (PPDs). Another source of jamming comes from militaries in conflict zones overseas, jamming GNSS signals over large areas of a country or a city. However, two major incidents in the US have disrupted air traffic over busy airspace, such as in Denver and Dallas. This threat of GNSS interference has grown over the past decade and is only getting worse. The White House and other organizations advocate for policies for a more resilient PNT; to protect, toughen, and augment GNSS. % This thesis contributes to protecting GNSS frequencies through autonomous algorithms that process publicly available signal quality data from large receiver networks for jamming detection. This autonomous algorithm uses detectors that are self-calibrating and optimal, i.e., minimizing the probability of missed detection while targeting a predefined false alert probability. Several jamming event patterns consistent with intentional interference were detected using this algorithm. The signal-quality-based detectors were validated using an independent power-based optimal jamming detector derived in this thesis. Spurious recurring false alerts triggered the power detector. An investigation described in the thesis discovered that car key fobs and other devices emit RF energy in restricted GPS frequencies. Based on the analysis of FCC regulation for RF transmitters, mitigation is proposed for power-based jamming detectors to prevent false alarms. Time-sequential estimation improves navigation accuracy and allows for the augmentation of GNSS with other difficult-to-interfered sensors such as IMU or LIDAR. Safety-critical navigation applications can benefit from time-sequential estimation, but they require high-integrity measurement error time correlation models to compute bounds on positioning errors. Two new methods to derive high-integrity measurement error time correlation models from experimental data are developed and evaluated in this thesis. These methods can derive tighter bounding models compared to the existing methods, reducing the uncertainty in position estimates. The two methods were implemented and evaluated using simulated and experimental GPS measurement error data collected in a mild multipath environment.

Many satellites in LEO use a GNSS-based navigation system, taking advantage of the GNSS constellations in MEO to enhance navigation capabilities. The thesis work focused on developing the software enabling GNSS-based navigation for Hemeria's future small satellites operating in LEO. Real time algorithms were developed to perform on board accurate frame conversions based on the International Earth Rotation and Reference Systems Service 2010 convention. The implementation was tested and independently cross-validated using space mechanics libraries and data from Observatory of Weights and Measures of Paris. The method was based on the Earth Orientation Parameters, and the balance between autonomy and accuracy was assessed. In pursuit of an affordable navigation system, a commercial Off-The-Shelf GNSS receiver was used. The navigation solution, derived from single frequency measurements, suffered from a systematic bias caused by the ionosphere. Mitigation strategies with ionospheric corrections were included in the IONOS simulator. Several attitude control modes were simulated so the effect of spacecraft tumbling versus the availability of GNSS measurements in a degraded situation was quantified.  Through this thesis, algorithms for GNSS-based navigation of Hemeria's small satellites in LEO were developed. The results showed the successful implementation of real time frame conversions at the metre level at best. It was found that the implementation allowed an improved autonomy of the frame conversion at the decimetre level of accuracy over a period of two months. / Många satelliter i LEO använder GNSS-baserad navigering och drar nytta av GNSS-konstellationerna i MEO för att förbättra navigeringsförmågan. Avhandlingsarbetet fokuserade på att utveckla mjukvaran som möjliggör GNSS-baserad navigering för Hemerias framtida småsatelliter som opererar i LEO. Realtidsalgoritmer utvecklades för att utföra exakta ramkonverteringar ombord baserat . Implementeringen testades och korsvaliderades oberoende med hjälp av rymdmekanikbibliotek och data från Observatory of Weights and Measures of Paris. Metoden baserades på jordorienteringsparametrarna, och balansen mellan autonomi och noggrannhet utvärderades. I jakten på ett prisvärt navigationssystem användes en kommersiell off-the-shelf GNSS-mottagare. Denna navigeringslösning, som härrörde från mätningar med en enda frekvens, led av en systematisk bias orsakad av jonosfären. I IONOS-simulatorn ingick strategier för att mildra effekterna med jonosfäriska korrigeringar. Flera lägen för attitydkontroll simulerades så att effekten av rymdfarkostens tumlande kontra tillgängligheten av GNSS-mätningar i en försämrad situation kunde kvantifieras.  Genom denna avhandling utvecklades algoritmer för GNSS-baserad navigering av Hemerias små satelliter i LEO. Resultaten visade en framgångsrik implementering av ramkonverteringar i realtid på meternivå som bäst. Det visade sig att implementeringen möjliggjorde en förbättrad autonomi för ramkonverteringen på decimeternivå under en period av två månader.

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Orientador: João Francisco Galera Monico / Resumo: A tecnologia Global Navigation Satellite Systems (GNSS) tem sido amplamente utilizada em posicionamento, desde as aplicações cotidianas (acurácia métrica), até aplicações que requerem alta acurácia (poucos cm ou dm). Quando se pretende obter alta acurácia, diferentes técnicas devem ser aplicadas a fim de minimizar os efeitos que o sinal sofre desde sua transmissão, no satélite, até sua recepção. O sinal GNSS ao se propagar na atmosfera neutra (da superfície até 50 km), é afetado por gases hidrostáticos e vapor d’água. A variação desses constituintes atmosféricos causa uma refração no sinal que gera um atraso. Esse atraso pode ocasionar erros na medida de no mínimo 2,5 m (zenital) e superior a 25 m (inclinado). A determinação do atraso na direção inclinada (satélite-receptor) de acordo com o ângulo de elevação é realizada pelas funções de mapeamento. Uma das técnicas para o cálculo do atraso é o traçado de raio (ray tracing). Essa técnica permite mapear o caminho real que o sinal percorreu e modelar a interferência da atmosfera neutra sobre esse sinal. Diferentes abordagens podem ser usadas para obter informações que descrevem os constituintes da atmosfera neutra. Dentre as possibilidades pode-se citar o uso de medidas de radiossondas, modelos de previsão do tempo e clima (PNT), medidas GNSS, assim como modelos teóricos. Modelos de PNT regionais do Centro de Previsão de Tempo e Estudos Climáticos (CPTEC) do Instituto Nacional de Pesquisas Espaciais (INPE) apresentam-se como um... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Global Navigation Satellite Systems (GNSS) technology has been widely used in positioning, from day-to-day applications (metric accuracy) to applications that require high accuracy (few cm or dm). For high accuracy, different techniques may be applied to minimize the effects that the signal suffers from its transmission on the satellite to its reception. GNSS signal when propagating in the neutral atmosphere (from surface up to 50km) is influenced by hydrostatic gases and water vapor. The variation of these atmospheric constituents causes a refraction in the signal that generates a delay. This delay may cause errors of at least 2.5 m (zenith) and greater than 25 m (slant). The determination of the delay in the slanted direction (satellite-receiver) according to the elevation angle is performed by the mapping functions. One of the techniques for calculating the delay is raytracing. This technique allows us to map the actual path that the signal has traveled and to model the interference of the neutral atmosphere on it. Different approaches can be used to obtain information describing the neutral atmosphere constituents - temperature, pressure and humidity. The possibilities include the use of radiosonde measurements, weather and climate models (NWP), GNSS measurements, as well as theoretical models. Regional NWP models from the Center Weather Forecasting and Climate Studies (CPTEC) of the National Institute for Space Research (INPE) are a good alternative to provide atmospheri... (Complete abstract click electronic access below) / Doutor

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Made available in DSpace on 2014-12-17T15:51:26Z (GMT). No. of bitstreams: 1 PamelaMB.pdf: 1623623 bytes, checksum: 28d259510491b304e6a430ad385fc8e2 (MD5) Previous issue date: 2010-02-19 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / The dissertation examines the influence of relationships among actors from Brazilian Tourism Political Network who compose the National Council of Tourism in the drafting of the National Tourism Plans (PNT) - PNTs 2003/2007 and 2007/2010, focusing on two main types of interaction: cooperation and information exchange. Therefore, the study departed from the understanding that the concept of tourism as a human phenomenon is configured as an essential conceptual basis for the development, implementation and analysis of public policies. The application of Network Theory and Social Network Analysis serves as an analytical tool, in addition, the use of concepts of Policy Networks enabled to interpret, in distinct aspects, the social reality of tourism in a more precise and detailed way. The study had a cross-sectional with a longitudinal perspective and case study was adopted, thus enabling to apply the model of social network analysis and qualitative approach. Through the survey conducted, it was found that the drafting process of National Tourism Plans was the result of the interaction of a complex network of actors from public and private initiatives, who compose the National Council of Tourism, and that their power of influence came out simultaneously, but not symmetrically, for both their performance/intervention in the meetings, and the possession of economic and organizational resources. Hence, the establishment of partnerships and information exchanges among the actors were underlying to the PNT drafting process, both in problems perception and insertion in the government agenda, as in making proposals to solve them, thus guiding the construction of large programs and programs contained in both investigated plans. / A disserta??o analisa a influ?ncia das rela??es entre atores da Rede Pol?tica do Turismo Brasileiro que comp?em o Conselho Nacional de Turismo no processo de elabora??o dos Planos Nacionais de Turismo (PNT 2003/2007 e PNT 2007/2010), centrando-se em dois principais tipos de intera??o: coopera??o e interc?mbio de informa??es. Para tanto, o estudo parte do entendimento de que a concep??o do turismo como um fen?meno humano, conforma-se como uma base conceitual imprescind?vel para a elabora??o, implementa??o e an?lise de suas pol?ticas p?blicas. A aplica??o da Teoria de Redes e da An?lise de Redes Sociais, funciona como uma ferramenta anal?tica, al?m disso, o uso dos conceitos de Rede Pol?tica (Policy Networks), permitiram interpretar por meio de aspectos diferenciados, a realidade social presente no turismo de forma mais precisa e detalhada. O estudo teve um corte seccional com perspectiva longitudinal e adotou o estudo de caso, permitindo aplicar o modelo de an?lise de redes sociais e a abordagem qualitativa. Atrav?s da pesquisa realizada, constatou-se que o processo de elabora??o dos Planos Nacionais de Turismo foi resultado da intera??o de uma complexa rede de atores p?blicos e privados, os quais comp?em o Conselho Nacional de Turismo, e que o poder de influ?ncia deles se deu simultaneamente, mas n?o simetricamente, pela sua atua??o/ interven??o nas reuni?es, e pela posse de recursos econ?micos e organizacionais. Assim sendo, o estabelecimento de parcerias e as trocas de informa??es entre os atores foram subjacentes ao processo de elabora??o dos PNTs, tanto na percep??o e inser??o de problemas na agenda governamental, quanto na realiza??o de propostas que os solucionassem, norteando assim a constru??o dos macroprogramas e programas contidos em ambos os planos investigados.

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