Title :
Auto-Regressive Modeling of the Shadowing for RSS Mobile Tracking
Author :
Noureddine, Hadi ; Gresset, Nicolas ; Castelain, Damien ; Pyndiah, Ramesh
Author_Institution :
Mitsubishi Electr. R&D Centre Eur., France
Abstract :
In this paper, we consider the tracking of mobile terminals based on the received signal strength (RSS) measured from several base stations. The spatial correlation of the random shadowing is exploited in order to improve the position tracking. We define an auto-regressive (AR) model of the temporal evolution of the shadowing. This model allows for performing a joint tracking of the position and the shadowing by applying a Rao- Blackwellized (RB) particle filter approximating the posterior probability distributions numerically. The simulation results show that the tracking can be improved by considering sufficiently high auto-regressive orders.
Keywords :
autoregressive processes; correlation methods; mobile radio; particle filtering (numerical methods); radio tracking; statistical distributions; telecommunication terminals; RSS mobile tracking; Rao-Blackwellized particle filter; autoregressive modeling; base stations; mobile terminal tracking; position tracking; posterior probability distributions; random shadowing; received signal strength; spatial correlation; Base stations; Computational modeling; Correlation; Covariance matrix; Mathematical model; Shadow mapping; Trajectory;
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
DOI :
10.1109/icc.2011.5962897
