Tesis
Design and implementation of a localization system based on a RF multipurpose platform
Autor
LUZ KARINE SANDOVAL GRANADOS
Institución
Resumen
In this work the development of a radio frequency (RF) indoor location systems
using Texas Instruments device ez430-RF2500 is proposed, this kind of systems are commonly used
to perform many monitoring and tracking tasks. They pose a real challenge because for indoor environments
the RF model of propagation is much more variable than that for outdoors environment:
signal levels vary greatly depending on specific features such as the layout of the building, the construction
materials and the positions of the sensors.
The development proposed in the paper was designed to work with basic tools, practical considerations
such as the small size, cost and power constrains were taken into account. A fixed set of
low-cost, low-power transceivers together with information commonly available as Received Signal
Strength Indicator (RSSI) and Link Quality Indicator (LQI) were used to convey a proper response.
The algorithm proposes is based on a neural network approach. A Multilayer Perceptron is trained
off-line to learn the relationship between the local position of a mobile node and the common features
of a packet received (RSSI and LQI) from four base stations (anchors).
The tests showed promising results, twenty-one fixed points were evaluated in a closed room (3.9m
x 7m), four base stations were transmitting continuously in different channels and a mobile node took
in time intervals the RSSI and LQI from packets received from each anchor.
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