Novel RSSI-Based Techniques for Indoor Localization
Résumé
This paper considers indoor localization based on
multilateration and averaged received signal strength indicator
(RSSI). We propose two approaches called three minimum
distances method (TDM) and weight values adjustment method
(WAM) to deal with the poor accuracy of distances deduced
from RSSI. Using a practical localization system, an experimental
channel model is deduced in order to assess the performance
of the proposed localization algorithms in realistic conditions.
Compared to non-linear least squares distance method (NLS),
linear least squares (LLS) and projection onto convex sets method
(POCS), simulations show that the proposed methods can achieve
better accuracy.