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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.

This thesis investigates the design, implementation and validation of a multi-antenna GPS system to monitor the displacement of deforming slopes. The system utilises a switched antenna array design allowing data from multiple antennas to be sampled sequentially by one GPS receiver. The system provides quasi-continuous GPS observations that can produce a precise and reliable coordinate time-series of the movement of the slope under consideration. GPS observations and particularly those concerned with the monitoring of steep slopes, are subject to systematic errors that can significantly degrade the quality of the processed position solutions. As such, this research characterises the data in terms of multipath effects, the spectrum of the coordinate time-series, and the carrier to noise power density ratio of the raw GPS observations. Various GPS processing parameters are then investigated to determine optimal processing parameters to improve the precision of the resulting coordinate time-series. Results from data stacking techniques that rely on the daily correlation of the repeating multipath signature find that the GPS data actually decorrelates somewhat from day to day. This can reduce the effectiveness of stacking techniques for the high precision monitoring of steep slopes. Finally, advanced stochastic models such as elevation angle and carrier-to-noise weighting are investigated to optimise the precision of the coordinate time-series data. A new in-line stochastic model is developed based on weighting GPS observations with respect to the level of systematic error present within the data. By using these advanced types of stochastic models, reductions to the noise level of the coordinate time-series of approximately 20 and 25 percent are possible in the horizontal and height components respectively. / Results from an extensive field trial of this system on a deforming high-wall of an open-pit mine indicate that approximately 135mm of displacement occurred over the 16-week field trial. The precision of the coordinate time-series for surface stations approaches ±4.Omm and ±5.4mm in the horizontal and height components respectively. For sub-surface stations next to the mine wall, coordinate precision has been determined as ±4.9mm.component and ±7.6mm in the height component respectively.

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