Localization Using Cellular Infrastructure

Abstract

Global Positioning System(GPS) is constantly considered as a best localization method. GPS technology utilizes numerous satellites for discovering accurate area,But there are some disadvantages of GPS technology. GPS does not work in indoor situation and in comparable ranges with restricted view-able pathway with GPS satellite. An alternate issue with GPS is particular equipment expected to join with satellite,which increase the expense. In our task we are attempting to get option of GPS localization. We are trying to use GSM network to nd the location. GSM signals will work even in indoor circumstance. GPS gadgets consumes more battery as contrast with GSM cell telephones. As per TRAI Press Release No. 32/2015, there are more than 970.97 million cellular connections in India and cellular density is reported to be more than 77.58%. Aim of our work is to study feasibility of using cellular infrastructure for localization In this project we are utilizing GSM ngerprinting algorithm which lives up to ex- pectations in two stage learning stage and prediction stage. In learning stage we are collecting GSM traces for GSM network. We also collect GPS traces corresponding to the GSM traces. For collecting the traces we made an android application. Using this application we can record the GSM and GPS traces. This traces are used for training data and using this traces we will create the learning database. In prediction stage we used training database for predict the location. Using this algorithms we are getting a good accuracy.