Dissertation thesis deals with methods for finding the location of the device in the Internet, based on knowledge of the IP address. The process is called IP geolocation and is currently solved by geolocation databases or by measurement of network properties to the IP address. The disadvantage of nowadays geolocation databases is an incorrect information about some locations, because they can be in large distance from correct position. The aim of the thesis is to develop a method for verification of a position from geolocation database using delay measurement. Because of it, there is a detail analysis of influence of partial delays on the distance estimation accuracy, calculated using measured delay between the landmark and the target IP address. For the same reason, long-term delay measurement was performed, where the IP geolocation accuracy was compared using calibration data from previous measurements. On this background, Cable Length Based Geolocalisation (CLBG) method is proposed. Principle of this method is built on the properties of partial delays, which depend on the length of transport media. Firstly, the method measures round trip time (rtt), which is subsequently lowered by intermediate devices and end stations delay. The geographical distance is estimated using signal speed in the transport media. Further, the winding media parameter is established, which is used to determine a constraint around the landmark. The intersection of all constraints defines the area, where the target IP is. The IP geolocation using CLBG gives better results than simpler methods (ShortestPing, GeoPing and SOI), in comparison with more advanced methods (CBG and Octant) the accuracy is similar. The disadvantage of the CLBG method is the size of region, where the target lies, but this is due to its purpose. The position found in geolocation database can be checked by evaluation if it lies in the region.

The diploma thesis describes localization of communications nodes in the Wireless Sensor Networks. This thesis contains basic algorithms for localization sensor's nodes as are Map-Growing and ABC (Assumption Based Coordinates). Then is chosen acceptable algorithm for simulation on random sensor networks. For research these problems is used software MATLAB. For a given the university's environment are researched appropriate algorithms with possible optimalization algorithms. The result of diploma thesis is a localization algorithm with initial multilateration system and this system is located in the center sensor's network. As algorithm IMap4-Growing (Improved Map4-Growing) with optimization, which uses optimization distance between sensors and radio range. In the diploma thesis is simulated optimalization algorithm Mass-Spring.

Under det senaste decenniet har inomhuspositionering fått en ökad popularitet och stått i fokus för forskning och utveckling, eftersom det ger praktiska möjligheter till att spåra och navigera objekt och människor i inomhusmiljöer. Det finns ingen global lösning för inomhuspositionering baserat på en enstaka teknologi såsom det gör för utomhuspositionering med sin satellitbaserade globala positioneringssystem. Många inomhusteknologier står inför många utmaningar såsom låg positioneringsnoggrannhet samt dyr och stor hårdvara. Den här uppsatsen beskriver hur en simpel och kostnadseffektiv lösning, som addresserar problemen med noggrannheten och hårdvarukostnaden, genom en iterativ forskningsmetod, utvecklades. Vår lösning är ett ultraljudsbaserat passivt sändare-mottagare system som kombinerar multilateration som positioneringsteknik och tidsskillnad av ankomst (TDOA) som mätprincip för att beräkna en 3D-position inuti en 4x2x2 m testyta med en övergripande noggrannhet på 16 cm inom ett 95% konfidensintervall. Vi registrerade noggranna TDOA-värden med en komparatorkrets som fungerade som en amplitud-trigger. Det här tillvägagångssättet var mycket enklare än vad andra relaterade arbeten använde sig av, vilket var sampling för att bearbeta inkommande signaler från sändarna. / During the past decade, indoor positioning has gained more popularity and has become a focus of research and development as it provides practical possibilities to track and navigate objects and people in indoor environments. There is no overall solution for indoor positioning based on a single technology like the solution for outdoor positioning with its satellite-based global positioning system. Many indoor positioning technologies today face many challenges such as low positioning accuracy, expensive and large hardware. This thesis describes how a simple and cost-effective solution, that addresses the problem of accuracy and space cost with regards to hardware being used, was developed through an iterative research methodology. Our solution is an ultrasound-based passive receiver-transmitter system that combines multilateration as a positioning technique and time difference of arrival (TDOA) as a measuring principle. This combination is used to calculate a 3D position within a 4x2x2 m test area with an overall accuracy of 16 cm within a 95% confidence interval. We registered accurate TDOA values with a comparator circuit that acts as an amplitude trigger. This approach was much more simple than that of other related works which used sampling to process incoming signals from the transmitters.

Fundação de Amparo a Pesquisa no Estado do Rio Grande do Sul / The wireless sensor networks have made great progress in the last decade and are increasingly present in several fields like security and monitoring of persons, animals or items, medicine, military area and many others that, due to technological developments, have become viable. These networks are formed by sensor nodes that have extremely limited resources, such as processing and data storage capacity, data transmission rate and energy available for operation. Thus, in networks with hundreds or even thousands of nodes, it is unfeasible to locate each one of them with global positioning devices, because those will considerably increase the cost and power consumption. As localization knowledge by the nodes is required in applications such as tracking, monitoring and environmental data collection, location algorithms were created to cheapen and/or improve this task. Thus, this master thesis presents the development of a low complexity iterative multilateration method, since most location algorithms uses some kind of multilateration. To prove this new method efficiency, a simple simulator based on the Matlab software was created in order to evaluate, in terms of location error, accuracy and robustness in a scenario with random arrangement of the reference nodes, log-normal propagation model with shadowing and received signal strength distance estimation. Under these conditions, the presented multilateration method presents inconsiderable loss of accuracy in comparison to the maximum likelihood method and also a low number of iterations is required. In this way was possible to increase the location algorithms accuracy without this entailing an increase in complexity and power consumption. / As redes de sensores sem fio tiveram um grande progresso na última década e estão cada vez mais presentes em diversos campos como a segurança e monitoramento de pessoas, animais ou itens, medicina, área militar entre muitas outras que, devido à evolução tecnológica, tornaram-se viáveis. As principais características dos nós sensores, denominados nodos, constituintes destas redes são as de possuírem recursos extremamente limitados, sendo estes a capacidade de processamento e de armazenamento de dados, taxa de transmissão de dados e energia disponível para operação. Deste modo, em redes com centenas ou até milhares de nodos, seria inviável que todos estes possuíssem dispositivos de posicionamento global para se localizarem, pois estes acarretariam num considerável aumento de custo e consumo de potência. Como o conhecimento de sua localização, por parte dos nodos, é necessário em aplicações como rastreamento, monitoramento e coleta de dados ambientais, foram criados algoritmos de localização com a função de viabilizar e/ou tornar mais precisa esta tarefa. Assim, neste trabalho é apresentado o desenvolvimento de um método de multilateração iterativo de baixa complexidade para o uso em algoritmos de localização. Para provar que este novo método é eficiente, foi criado um simulador simples baseado no software Matlab com o intuito de avaliar, em termos de erro na localização, a precisão e robustez deste em cenários com disposição aleatória dos nodos de referência, modelo de propagação log-normal com sombreamento e estimação das distâncias através da potência do sinal recebido. Nestas condições, o método de multilateração desenvolvido apresentou uma perda de precisão desconsiderável em relação ao de máxima verossimilhança e com um baixo número de iterações. Desta forma foi possível aumentar a precisão dos algoritmos de localização sem que isto acarrete num aumento de complexidade e de consumo de potência.

This diploma thesis discusses and compares the current technologies and systems that are used to monitor and control movements on the airport surface. The paper presents the basic characteristics, operational principles and possibilities. Comparison provides an overview of their strengths and limitations in operational use. It also deals with this issue at the Ostrava Leos Janacek Airport, describes current situation and suggests how to solve problems associated with the introduction of CAT III precision approach and landing as well as monitoring and controlling of movements on the airfield under poor weather conditions.

Diploma thesis deals with the ADS-B system and its possible use at the Airport Václav Havel in Prague. In the beginning of this thesis there is described the history leading to the introduction of this system and then the ADS-B is explained. In this thesis is also included a schedule for the introduction of the system. Them the application is presented to the airport with integrity verification, functionality, reliability and safety.

Develop new strategies to design and operate the multilateration systems, used for air traffic control operations, in a more efficient way. The design strategies are based on the utilization of metaheuristic optimization techniques and they are intended to found the optimal spatial distribution of the system ground stations, taking into account the most relevant system operation parameters. The strategies to operate the systems are based on the development of new positioning methods which allow solving the problems of uncertainty position and poor accuracy that the current systems can present. The new strategies can be applied to design, deploy and operate the multilateration systems for airport surface surveillance as well as takeoff-landing, approach and enroute control. An important advance in the current knowledge of air traffic control is expected from the development of these strategies, because they solve several deficiencies that have been made clear, by the international scientific community, in the last years. / Mantilla Gaviria, IA. (2013). New Strategies to Improve Multilateration Systems in the Air Traffic Control [Tesis doctoral]. Editorial Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/29688 / Alfresco

Indoor localization remains an open problem in geolocation research, and once this is solved the localization enables counting and tracking of building occupants. This information is vital in an emergency, enables occupancy-optimized heating or cooling, and assists smart buildings in tailoring services for occupants. Unfortunately, two prevalent technologies---GPS and cellular-based positioning---perform poorly indoors due to attenuation and multipath from the building. To address this issue, the research community devised many alternatives for indoor localization (e.g., beacons, RFID tags, Wi-Fi fingerprinting, and UWB to cite just a few examples). A drawback with most is the requirement for those being located to carry a properly-configured device at all times. An alternative based on computer vision techniques poses significant privacy concerns due to cameras recording building occupants. By contrast, ILoViT research makes novel use of accelerometers already present in some buildings. These sensors were originally intended to monitor structural health or to study structural dynamics. The key idea is that when a person's footstep-generated floor vibrations can be detected and located then it becomes possible to locate persons moving within a building. Vibration propagation in buildings has complexities not encountered by acoustic or radio wave propagation in air; thus, conventional localization algorithms are inadequate. ILoVIT algorithms account for these conditions and have been demonstrated in a public building to provide sub-meter accuracy. Localization provides the foundation for counting and tracking, but providing these additional capabilities confronts new challenges. In particular, how does one determine the correct association of footsteps to the person making them? The ILoViT research created two methods for solving the data association problem. One method only provides occupancy counting but has modest, polynomial time complexity. The other method draws inspiration from prior work in the radar community on the multi-target tracking problem, specifically drawing from the multiple hypothesis tracking strategy. This dissertation research makes new enhancements to this tracking strategy to account for human gait and characteristics of footstep-derived multilateration. The Virginia Polytechnic Institute and State University's College of Engineering recognized this dissertation research with the Paul E. Torgersen Graduate Student Research Excellence Award. / Ph. D.

The purpose of this research project was to design, implement, and evaluate a prototype underwater positioning system which extends the reach of the terrestrial Global Positioning System (GPS) underwater. The GPS does not function underwater because the high-frequency low-power signals used by the GPS are not able to penetrate more than several meters in water. The Underwater Global Positioning System (UGPS), presented in this work, provides underwater position data to an unlimited number of underwater assets, such as autonomous vehicles. The user requirements are discussed and a design is presented that incorporates a topside surface buoy (satellite) and a subsurface receiver. The satellite is responsible for receiving GPS data and relaying the data, via acoustic signals, to the subsurface receiver. The receiver calculates its position using the coded acoustic signals. The implementation of the prototype UGPS satellite and subsurface receiver are discussed in detail; the custom electronics, software, data acquisition systems and mechanical housings are described. The key operating characteristics of the UGPS are investigated both experimentally and through the analysis of a model describing the entire UGPS. Employing the prototype UGPS, a series of sea-trials were performed that provides essential design data for developing the next version of the system. The main characteristics that were experimentally investigated were: the long and short-range accuracy; the repeatability; and the resolution. The experimental data was also employed to confirm the UGPS model performance. The prototype system demonstrated the feasibility of the UGPS concept and showed that a position accuracy of 6.5m should be attainable for an unlimited number of underwater receivers operating within a one square kilometer workspace. The accuracy can be enhanced to sub-meter by employing more accurate GPS receivers in the satellites and using a sound velocity meter to measure the sound velocity profile of the acoustic workspace.

This diploma thesis deals with navigation on airport surface. In thesis there are described main surveillance systems, which are used for navigation on airport surface and systems for prediction and avoiding collisions. For all systems is listed principle of action, their usage, advantages and disadvantages and informations, which are provided by these systems. In last chapter there are compared properties of main surveillance systems.