Improving GPS Position with AGPS

Improving GPS Position with AGPS5.1.2 A-GPS A technique which smart peals use to improve GPS precision and speed is c everyed AGPS, or assisted GPS. When a GPS system is first used/turned on, it needs to find measure and orbit selective information for the satellites it is going to link to. This hence results in what is cognize as TTFF or Time to First Fix which signifies how long it takes for the GPS murderer to acquire its exact localisation of function. Assisted GPS circumvents this problematic by using data from the cellular towers on the phones network in combination with the phones own GPS data to acquire location fix. The time taken to acquire a closure using AGPS is usually much faster as the cellular towers which the phone is communicated data from, are constantly getting GPS data from satellites and calculating the data, this then helps the GPS receiver on the perform tasks much(prenominal) as range capacities and smirch solutions much faster.5.1.3. Indoor Positio ning QR Codes One of the major difficulties to cudgel when emergent an app like Plotting UL campus is how to determine a users position when they are indoors/ under(a) cloud exposure. Although Assisted GPS somewhat alleviates this, GPS triangulation is still unclear at beat within grammatical constructions so a system must be created to over get along that. QR codes would be an ideal way with which to avoid this problem. Inside every building and floor within the UL Campus there is a noniceboard so Plotting UL Campus could take pull ahead of this and place a poster with a QR code containing that building/floors GPS co-ordinates? When this is scanned by the smartphone it will open the Plotting UL application and show where you are on the UL Campus map.6. sailplaning PathfindingThere are a variations of pathfinding algorithms that could be considered for use in the sailing functionality of Campus social function. These include straightforward point A to point B algorithms s uch as Dijkstras algorithm and more complex Travelling Salesman type algorithms which lick the route visiting every point on a represent such as Hamiltonian and Euclidian algorithms. Though, these can be very computationally intensive algorithms that would place a large clang on the smartphones CPU.7. Google maps APIGoogle Maps is the some recognised and used mapping context that is currently available. Google launched the Google Maps API in 2005, the API is apologise of charge for use by designers, provided the application is used in does not charge users, and it does not generate more than 25,000 map views a day, which would be appropriate for this project. As Google also coachs the Android platform, Google Maps is proposed to be the most substantially implementable mapping framework for this platform. The flaw of Google Maps, from Plotting UL campus perspective is that Google Maps does not display all the individual buildings within UL and this is a necessary module within the application.7.1 adequate to(p) street mapsOpen Street Maps an open-source plotting outline that is comprised entirely of location data supplied by its users. Meanwhile its formation Open Street Maps has relished increase popularity due to the essential for an unfiltered mapping services that shows all the geographical features of an subject field as well as a propagation in cheap GPS-enabled devices.This detailed mapping of an area, fulfils the need of plotting UL campus to have a mapping nates which displays all the buildings within the university as well as all pathways and roads. The open-source nature of UL mapping also means the API could be deployed to give a lively display of the points-of-interest within the campus that can be tailored to causa specific users, which is one of the main project objectives.GIS ToolsThe varied set of tools which set aside the user to create interactive queries, analyse spatial information, edit mapping details, presents the solutions o f these operations.Sample List of tools includeTools for overlayProximity analysis tools muster up toolsTable analysis and management toolsTools for selecting and extracting data118. Specification8.1 bustling campus map Hardware and Operating systemEquipmentSmartphone -Lenevo P1ma40CPUQuad internality 1GhzRam2.00 GBRom16.00 GBOSAndroid rendering 5.1GPSYesFrontendKeyhole Mark-up LanguageBackendJavaDatabaseMySQL129. little Action PlanDetailed action plan for the project is shown below. Apart from this, weekly consultations will be held with the project supervisor and updates will be communicated on a steadfast basis.9.1. DiscussionExpended significant time in understanding the mapping layout and tracking of the buildings, the path, navigation, the tools used and the abnormalities which could occur through mobile or the web application. currently reading the concept of Google maps, the softwares like KML, java, the android OS and the gps used to corporate the application and w orking involved in it. I anticipate to come with the successful completion of the project as expected. Arising challenges is to frame the right prototype, implementing with entrancing contents and the proper navigation incorporated with relevant GIS tools.139.2. Requirements of facilities and materials.1Complete UL campus map2Smart phone Lenovo P1ma403 barter and Fire Sensors to detect anomalies4GPS-Global positioning system5Wi-Fi6Router7Laptop / Desktop1410. 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