Abstract:
Real Time Location-estimation systems (RTLS) developed for outdoor environments have shown significant errors due
to changes in atmospheric conditions, multipath propagation and inherent signal strength variations. In this paper, we
present an improved Wi-Fi based RTLS solution for the outdoors that reduces the above impacts. In addition this paper
presents the development of a portable device for implementing the above RTLS solution. The research makes use of
Euclidean, standard deviation based and triartgulation algorithms. Data smoothening is done to reduce the multipath
propagation issues. The different algorithm combinations are compared via their error cumulative distribution
functions.
