"Smartphone user tracking by incorporating user orientation using a dou" by Shuai Sun, Shaoxi Li et al.
We consider the problem of localizing a smartphone user using received signal strength (RSS) measured by a set of known network nodes in a harsh indoor environment. While the RSS of a wireless signal can be conveniently accessed, using it to estimate location is nontrivial in the presence of multipath propagation, shadowing and radio interference. Auxiliary information, such as the indoor building map and users orientation information, potentially can help to improve localization performance. As...
Auxiliary Information Ouble Layer Hmm Fingerprint Recognition Hidden Markov Models Indoor Environment Indoor Localization
Source: uow.edu.au