The aim is to carry out research, development and performance evaluation of a novel low-cost Indoor Positioning System (IPS) based on a small FM-TDM-WCDMA (Frequency Modulation - Time Division Multiplexing – Wide Code Division Multiple Access) network. The positioning process will be performed with help of an artificial neural network. Additionally, some GPIO (General Purpose Input/Output) programming tasks will made in JAVA or Python for a Raspberry PI computer (with motors).
|Reference: Contrato PEst-OE/EEI/LA008/2013|
|Start Date: 01-10-2014|
|End Date: 01-07-2015|
|Team: João da Silva Pereira, Sílvio Priem Mendes, Josip Bagaric|
|Groups: Multimedia Signal Processing – Lr|
|Local Coordinator: João da Silva Pereira|