1. An Exponential-RayleighModelfor RSS-BasedDevice-FreeLocalization
and Tracking
Abstract:
A common technical difficulty in device-free localization and tracking
(DFLT)with a wireless sensornetwork is that the change of the received
signal strength (RSS) of the link often becomes more unpredictable due to
the multipath interferences. This challenge can lead to unsatisfactory or
even unstable DFLT performance. This work focuses on developing a new
RSS model, called Exponential-Rayleigh (ER) model, for addressing this
challenge. Based on data from our extensive experiments, we first develop
the ER model of the received signal strength. This model consists of two
parts: the large-scale exponential attenuation part and the small-scale
Rayleigh enhancement part. The new consideration on using the Rayleigh
model is to depict the target-induced multipath components. We then
explore the use of the ER model with a particle filter in the context of multi-
target localization and tracking. Finally, we experimentally demonstrate
that our ER model outperforms the existing models. The experimental
results highlight the advantages of using the Rayleigh model in mitigating
the multipath interferences thus improving the DFLT performance.