Improved Indoor Location Systems in a Controlled Environments
Abstract: The precise
localization by using Wi-Fi Access Point (AP) has become a very important issue
for indoor location based services such as marketing, patient follow up and so
on. Present AP localization systems are working on specially designed Wi-Fi
units, and their algorithms using radio signal strength (RSS) exhibit
(relatively) high errors, so industry looks more precise and fast adaptable
methods. A new model considering/eliminating strong RSS levels in addition to
close distance error elimination algorithm (CDEEA) combined with median filters
has been proposed in order to increase the performance of conventional RSS
based location systems. Collecting local signal strengths by means of an
ordinary WiFi units present on any laptop as a receiver is followed by the
application of CDEEA to eliminate strong RSS levels. Median filter is then
applied to those eliminated values, and AP based path loss model is generated,
adaptivelly. Finally, the proposed algorithm predicts locations within a
maximum mean error of 2.96m for 90% precision level. This achievement with an
ordinary wifi units present on any commercial laptop is comparably at very good
level in literature.
Keywords: Indoor radio
propagation, locating algorithms, laptop as a receiver, signal analysis, WiFi
Author: Selcuk Helhel, Atalay
Kocakusak
Journal Code: jptkomputergg160235
