Abstract
There are many applications which require continuous positioning in combined outdoor urban and indoor environments. For a long time GNSS has been used in outdoor environments while indoor positioning is still a challenging task. One of the major degradations that GNSS receivers experience indoors is the presence of multipath. The current paper analyzes several available multipath mitigation techniques which would be suitable for indoor applications. Some of these techniques are described in more details. A few deconvolution based techniques such as the Projection Onto Convex Sets and the Deconvolution Approach are focused on and some tests are performed to show how they work. It is shown which advantages these techniques have over the conventional techniques. The wide range of tests show how these techniques work under ideal conditions, with simulated signals in different environments and in real world using data from high-end GNSS front-end.
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