ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV / Tracking small marmosets over a large area represents a significant challenge for researchers. The native habitat for such animals are generally unsuitable for GPS based location systems, and the size of the animals prevents large, feature-rich collars from being utilized. Additionally, costs and feasibility prevent researchers from continuously monitoring these animals on the ground. This paper proposes a new system of tracking that offsets complexity from the collar onto fixed Base Stations (BS). The simplified collars emit a ping that multiple BSs then log along with the power of the signal. Combining the data from different BSs allows for the determination of the Signal of Interest (SOI). It was found that using three BSs provided enough accuracy to determine the location of an SOI within an accuracy of 2 m² over a roughly 450 m² area.

Wireless communication is becoming more common, a relatively new technology within the area is Bluetooth Low Energy. It’s been developed to be energy efficient and in regard to compatibility. Alongside the growth of wireless technology, scientists and companies are looking for new areas of use. One of these is localization, which means to determine the position of a moving device with the use of stationary devices, an example of this would be GPS.This report means to evaluate indoor localization using Bluetooth Low Energy and was made for Combitech AB in Jönköping. The purpose of the work was to determine with what accuracy and precision the position of a moving device could be estimated. The report will answer the following questions: With what accuracy and precision can the position of a device be determined within a test area of varying size using Bluetooth Low Energy? Is the accuracy and precision affected by the environment?The authors chose an inductive reasoning and therefore intended to answer the questions with the help of experimental studies. A system consisting of both software and hardware was developed and was then used to conduct multiple rounds of tests, where the size of the area and the environment was varied.By evaluating the data gathered from said tests and comparing it to theoretical studies and prior research credible results were obtained. The accuracy appears to decrease as the distance between the units is increased, however a deeper analysis shows that the difference is smaller below 500 cm. No correlation is found between environment and accuracy. When three stationary units, forming a triangle with 400 cm between the vertices, are used to determine the position of a fourth the achieved accuracy is 65 cm. During the tests the precision is not shown to decrease with distance, it seems to vary independently. However, as the environment is changed a noticeable difference is observed. In a gymnasium the standard deviation was calculated to 0.38 RSSIwhereas in an office environment it was 0.99 RSSI. In regard to the given results the authors conclude that Bluetooth Low Energy shows some potential for the use in indoor positioning systems. A possible scenario where the technology would be well suited would be when the units need to work of a coin cell battery for a large period of time, while the system must support multiple types of units and a rough estimation of the position is adequate. / Trådlös kommunikation blir allt mer vanlig i vår vardag, en relativt ny teknik inom detta område är Bluetooth Low Energy som utvecklats med avseende på energieffektivitet och kompabilitet. Parallellt med den trådlösa teknikens spridning letar forskare, såväl som företag, efter nya användningsområden. En av dessa är lokalisering, vilket innebär att med fasta enheter avgöra rörliga enheters position, ett exempel på detta är GPS. Detta arbete handlar om att utvärdera inomhuslokalisering med Bluetooth Low Energy och gjordes på uppdrag av Combitech AB i Jönköping. Syftet var att undersöka med vilken noggrannhet och precision en rörlig enhets position kunde avgöras. Rapporten kommer att besvara följande frågeställningar: Med vilken noggrannhet och precision kan man med Bluetooth Low Energy avgöra en enhets position inom ett testområde med varierande storlek? Påverkas noggrannhet och precision av omgivningen?Författarna valde en induktiv metod och ämnade därför besvara frågeställningarna med hjälp av experimentella studier. Ett testsystem bestående av hård- samt mjukvara utvecklades varpå tester utfördes i flera omgångar, där storlek på område och omgivning varierades. Genom utvärdering av testdata i förhållande till teoretiska studier och tidigare forskning kunde trovärdiga resultat nås. Noggrannheten tycks minska då avståndet mellan enheter ökas, djupare analys pekar på en mindre förlust under 500 cm. Det observeras dock inget samband mellan noggrannhet och omgivning. Då tre fasta enheter placeras med ett inbördes avstånd på 400 cm kan positionen avgöras med 65 cm noggrannhet. Precisionen påverkas under testerna inte av avstånd, signalstyrkevärdena varierar helt oberoende av detta. Vid skifte av omgivning tydliggörs dock en markant skillnad i resultat. I en idrottshall beräknades standardavvikelsen till 0,38 RSSI medan den i en kontorsmiljö var 0,99 RSSI.Författarna drar utifrån det uppnådda resultat slutsatsen att Bluetooth Low Energy har viss potential att användas för inomhuslokalisering. Exempel på ett möjligt scenario där tekniken anses väl lämpad är då de fasta enheterna måste drivas av knappcellsbatterier under en lång tidsperiod, att systemet skall stödja en mängd olika enheter samt att en grov uppskattning av position är tillräcklig.

Personal information nowadays have become valuable for many stakeholders. We want to find out how much information someone can gather from our daily devices such as a smartphone, using some budget devices together with some programming knowledge. Can we gather enough information to be able to determine a location to a target device? The main objectives of our bachelor thesis is to determine the accuracy of positioning for nearby personal devices using trilateration of short-distance communications (Wi-Fi vs Bluetooth). But also, how much and what information our devices leak without us knowing with respect to personal integrity. We collected Wi-Fi and Bluetooth data in total from four target devices. Two different experiments were executed, calibration experiment and visualization experiment. The data were collected by capturing the Wi-Fi and Bluetooth Received Signal Strength Indication(RSSI) transmitted wirelessly from target devices. We then apply a method called trilateration to be able to pinpoint a target to a location. In theory, Bluetooth signals are twice as accurate as Wi-Fi signals. In practise, we were able to locate a target device with an accuracy of 5 - 10 meters. Bluetooth signals are stable but have long response time while Wi-Fi signals have short response time but high fluctuation in the RSSI values. The idea itself, being able to determine a handheld device position is not impossible, as can be seen from our results. It may though require more powerful hardware to secure an acceptable accuracy. On the other hand, achieving this kind of results from such a cheap hardware as Raspberry Pi:s are truly amazing.

Localization of individual nodes in a wireless network is useful in many applications, e.g for tracking patients in hospitals. Using the Received Signal Strength Indicator, RSSI, for this purpose has been explored in numerous studies. It is energy efficient and rarely requires customised hardware of configuration. The possibility to use pre-configured, off-the-shelf products is especially important in large scale sensor network deployments. Using RSSI has, however, many drawbacks, since the radio signal is heavily affected by the surrounding envi- ronment. Most studies in this area discuss the impact of multipath effects. Our study on range based distance estimations, using the Telos hardware, shows that individual profiling requirements and antenna quality are equally challenging. Still, RSSI based indoor localization systems remains an active field of research. A multitude of approaches and algorithms have been proposed to gain accuracy in position estimations. The most common of these techniques are explored in this report. Based on previous work at The Polytechnic University of Catalonia, the Telos hardware has been integrated successfully with existing software to form local wireless sensor networks for indoor localization. We present applications developed on top of TinyOS, an operating system for embedded systems. These applications serve as a platform for related future work at The Polytechnic University of Catalonia and elsewhere.

ITC/USA 2014 Conference Proceedings / The Fiftieth Annual International Telemetering Conference and Technical Exhibition / October 20-23, 2014 / Town and Country Resort & Convention Center, San Diego, CA / In this paper we consider the possibility of using a communications system that is operating between probes on the surface of an asteroid and an orbiting satellite to more accurately determine spatial positions. This is done by measuring the round trip communication delay between the orbiter and various surface probes to estimate distance. From these distance measurements, the position can be determined using trilateration - the same basic technique behind the earth-based GPS system. Within the framework of this scenario, the location of the probes or the orbiter can be determined depending on the scenario.

In this paper, a Kinect-based distributed and real-time motion capture system is developed. A trigonometric method is applied to calculate the relative positions of Kinect v2 sensors with a calibration wand and register the sensors’ positions automatically. By combining results from multiple sensors with a nonlinear least square method, the accuracy of motion capture is optimized. Moreover, to exclude inaccurate results from sensors, a computational geometry is applied in the occlusion approach to discover occluded joint data. The synchronization approach is based on the NTP protocol, which synchronizes the time between the clocks of a server and of clients dynamically, leading to the proposed system being real time. Experiments to validate the proposed system are conducted from the perspective of calibration, occlusion, and accuracy. More specifically, the mean absolute error of the calibration results is 0.73 cm, the proposed occlusion method is tested on upper and lower limbs, and the synchronization component guarantees the clock synchronization and real-time performance for more than 99% of the measurement process. Furthermore, to demonstrate the practical performance of our system, a comparison with previously developed motion capture systems (the linear trilateration approach [52] and the geometric trilateration approach [51]) with the benchmark Opti Track system is performed for the tracked joints of the head, shoulder, elbow, and wrist, therein showing that the accuracy of our proposed system is 38.3% and 24.1% better than the aforementioned two trilateration systems. Quantitative analysis is also conducted on our proposed system with the commercial inertial motion capture system Delsys smart sensor system by comparing the measurements of lower limbs (i.e., hips, knees, and ankles), and the standard deviation of our proposed system’s measurement results is 4.92 cm.

Traditional satellite positioning systems have limited resolution and have proved inaccuratein areas such as urban canyons where signals are subject to bounce phenomena or indeed may be entirely unavailable. An alternative method of positioning is that of tri/multilateration, which uses known positions and distances from beacon points to locate a receiver. In this project, a software was developed which used DSRC Basic Safety Messages (containing locational information) in combination with Received Signal Strength metrics (translated to distance information) to carry out such positioning in static environments. Initial studies confirmed that a signal received on the Craton 2 hardware was subject to considerable signal strength spread approximating a Gaussian distribution. A software was developed to simulate BSMs, including a measure of perturbation, over TCP. Three different traffic scenarios were constructed. Furthermore, multilaterationsoftware was developed to receive the BSMs and calculate position using three separate algorithms. The performance of these algorithms in the three different traffic scenarios was then evaluated. Lastly, the multilateration software was further developed to allow for the capture and processing of real BSMs sent on the 5.9 GHzband. The multilateration software was capable of determining the location of the receiver to varying degrees of accuracy, depending on the geometrical distribution of surrounding vehicles and the algorithm used to multilaterate. The 3D Linear Least Squares method performed well in situations where beacons were well spaced in three dimensions. Other implemented multilateration algorithms, i.e., a 2D Linear Least Squares method and a 3D Gauss Newton method, performed better in typical traffic scenarios where vehicles tend to be coplanar.The software developed provides a useful starting point for further developmentof static, but also dynamic, multilateration algorithms.

To be able to receive a position from a smartphone user is very valuable. Wit- hout this many applications would not work at all. For many applications the existing position libraries are not good enough, for example augmented reality applications which requires millimeter precision for a good experience. The goal of this report is to study if GNSS positioning can be improved for smartphones.The study focuses mostly on Android and has the goal of using the method “trilateration” to combine multiple satellites position and their distance to a receiver in order to calculate a real position. The projekt consists of two parts: and Android application and a Java Tomcat server. The android applica- tion uses the programming library “Location” to access raw GNSS-data for cal- culating the distance between the receiver and the satellites, which is called “pseudorange”, and the server functions as a REST API which provides GALI- LEO satellites current position. The project tries to combine these parameters in the Application to create a position. Although the report did not succeed in com- bining these parameters to calculate a position, it does describe of it is still pos- sible; which applications has succeeded before and what others ought to think about when starting similar studies. This project would require a bit more time to reach its end goal, but the fact that raw GNSS-data has become available to all developers on Android is a promising development since others may conti- nue or do their own research. This project focuses solely on GALILEO satelli- tes, mostly to time constraints. In future works all available satellite constella- tions should be used for better results. / Att få en position av en smartphoneanvändare är mycket användbart, utan detta skulle många applikationer inte fungera alls. För många applikationer är den givna positionerings biblioteken inte tillräckligt bra dock, som t.ex. för augmen- ted reality applikationer som kräver millimeter-säker precision för en bra an- vändarupplevelse. Målet med denna rapport är att undersöka om GNSS-positio- nering kan förbättras inom smartphones. Undersökningen fokuserar mest på Android och har som målsättning att använda metoden “trilateration” för att kombinera satelliternas position och dess distans till en mottagare för att sedan räkna ut en verklig position. Projektet består av två delar: en Android applika- tion och en Java TomCat server. Android applikationen använder programme- rings biblioteket “Location” för att få tag på rå GNSS-data för att räkna ut di- stansen mellan satelliter och mottagaren, vilket kallas för “pseudorange”, och servern fungerar som ett REST API som returnerar GALILEO-satelliters nuva- rande position. Applikationen försöker kombinera pseudorange och satelliter- nas position med trilateration för at få ut mottagarens position. Rapporten lyck- as inte uppnå detta mål dock, men den beskriver hur det ändå är möjligt, vilka andra applikationer som lyckats och vad andra bör tänka på om de vill göra lik- nande studier. Det skulle behövas lite mer tid för att avsluta detta projekt, men faktumet att råa GNSS-data har blivit tillgänglig för alla Android-utvecklare, från att ha varit helt gömd, är en lovande utveckling då det låter andra forska på egen hand. Detta projekt fokuserar enbart på GALILEO satelliter, mestadels för tidsbegränsningar.

The navigation tasks in advanced home robotic applications incorporating reliable revisiting strategies are dependent on very low cost but nevertheless rather accurate localization systems. In this paper a localization system based on the principle of trilateration is described. The proposed system uses only a single small base station, but achieves accuracies comparable to systems using spread beacons and it performs sufficiently for map building. Thus it is a standalone system and needs no odometry or other auxiliary sensors. Furthermore a new approach for the problem of the reliably detection of areas without direct line of sight is presented. The described system is very low cost and it is designed for use in indoor service robotics. The paper gives an overview on the system concept and special design solutions and proves the possible performances with experimental results.

Theme of the thesis is research and possibility of using GPS system from localization in wireless sensor network. Paper deals with the accuracy and energy consumption of GPS localization. Thesis also solve using of localization in local anchor system. Theoretical part describes IEEE 802.15.4 standard, capability of used nodes and describe ways how to use RSSI value to resolve location