Statistical path loss parameter estimation and positioning using RSS measurements in indoor wireless networks

Henri Nurminen, Jukka Talvitie, Simo Ali-Loytty, Philipp Muller, Elena-Simona Lohan, Robert Piche, Markku Renfors
2012 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN)  
A Bayesian method for dynamical off-line estimation of the position and path loss model parameters of a WLAN access point is presented. Two versions of three different on-line positioning methods are tested using real data. The tests show that the methods that use the estimated path loss parameter distributions with finite precisions outperform the methods that only use point estimates for the path loss parameters. They also outperform the coverage area based positioning method and are
more » ... od and are comparable in accuracy with the fingerprinting method. Taking the uncertainties into account is computationally demanding, but the Gauss-Newton optimization method is shown to provide a good approximation with computational load that is reasonable for many real-time solutions. indoor positioning; received signal strength; WLAN; path loss model; statistical estimation
doi:10.1109/ipin.2012.6418856 dblp:conf/ipin/NurminenTAMLPR12 fatcat:bz5gtivwtfc4pebzs23ac5dhwy