Round-trip-time positioning in the Siemens Scalance W product prototype
Document typeMaster thesis (pre-Bologna period)
Rights accessOpen Access
En aquest projecte podem trobar el disseny i implementació d'un prototip de posicionament indoor mitjançant WLAN. Aquest prototip incorpora en la mateixa plataforma, fins a 4 tècniques diferents per obtenir el RTT (Round Trip Time) que és el mètode escollit per calcular la distancia entre un client i un AP.D'aquestes tècniques, una va ser dissenyada a la UPC, una altre a Siemens CT, i les dues últimes les hem dissenyat en el marc del projecte com a mescla de les dues primeres. Dins del projecte s'han realitzat proves per tal de poder obtenir la configuració del sistema més eficient i escalable. També s'ha realitzat una demostració (a Siemens CT) que demostra el correcta funcionament del sistema de posicionament, i permet comparar les diferents tècniques desenvolupades de forma directe. Anglés: Our final goal is to build a positioning system, for indoor environments. For doing it, we are going to use WLAN and the ranging technique called TOA. During the next chapters we are going to justify why do we have decided to use this technology and this technique, and how are we able to obtain a position based only on those tools.The positioning system that we are going to build is going to have incorporated two different ways of obtaining the TOA. Those different ways were implemented one in the Department of telematic engineering in the UPC, and the other in the Department of wireless networks in Siemens AG. Both techniques are going to be installed in the same platform, and we are going to obtain the TOA estimation with the same data and the same environment. With this we make sure that we can make a reliable comparison. Build the software solution that is able to obtain the information from the TOA, and get the specific value of the position. For doing so, we are going to explain the architecture in which our system is based, as well as the parts that we are going to use that had already been implemented in other projects with similar purposes. Another of the main objectives of this project is to optimize the configuration that can handle us the best results. With configuration we mean the amount of data that we need to use, as well as the type of data that we need to use or for example the O.S configuration that bring us the best performance. We must make sure to build an scalable system, able to not only obtain the position of one client, we want to obtain the position of N clients automatically. With automatically we refer to not have to make much extra configuration to calculate the position of each device.