This file contains VLC RSSI data from the IoRL Measurement campaign.
The processing files included are developed by Ben Meunier from Brunel University London.
This Matlab model and the included results are submitted as reference for the paper ''.
Presenting a comparative study of the Sequential Unscented Kalman Filter (SUKF), Least-squares (LS) Multilateration and standard Unscented Kalman Filter (UKF) for localisation that relies on sequentially received datasets.
The KEWLS and KKF approach presents a novel solution using Linear Kalman Filters (LKF) to extrapolate individual sensor measurements to a synchronous point in time for use in LS Multilateration.