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The figures in the following show the mass probability density of the localizzation error, committed through the bayesian approach described in the paper Savazzi & all; “Radio Imaging by Cooperative Wireless Network: Localizzation Algorithms and Experiments”; IEEE Int. Conf. WCNC 2012.
Scenario C40
The figures below show the results of the scenario represented in the figure 'Scenario C40', where the surface localization has dimensions 6.4 m X 4.5 m, the sensors used to collect the measures are 25, the target move along a path at the rate of one step every two seconds and the RSSI values are collected on a single radio channel. The calibration Phase required by the algorithm has been performed on 22 cells.
This figure shows the localizzation error distribution for the target's coordinates estimation performed by the a posteriori-probability.
Through the results shown into the TAB. 1 arises that the localizzation error of this method is greater than that one of the tomographic approach, in fact, the error in the case of bayesian approach falls within [0.8, 1] meters.