.......................................................................................................................................... ii Acknowledgements ........................................................................................................................ iv Table of
High sensitivity GNSS receivers have proven to be of great potential in vast applications, such as location based services, vehicular and pedestrian purposes. When it comes to challenged environments, the signal tracking and navigation solution may encounter many difficulties and
In this paper, we propose a neural network based receiver for GNSS applications in which multipath fading is present. The proposed system is implemented in the framework of rake receivers, but it does not require any knowledge of the attenuation values of each path. In addition,
Generally, the GPS-only navigation system cannot provide an accuracy level that is sufficient for use in vehicular applications in all environments. Specifically, in urban canyon environments where the presence of large buildings leads to frequent shadowing of signals, several mu
Abstract In urban areas, the Global Navigation Satellite System (GNSS) can lead to position errors of tens meters due signal obstruction and severe multipath effects. cases 3D-positioning, vertical coordinate is estimated less accurately than are horizontal coordinates. Multisens
Ultra-tight integration was first proposed by Abbott in 2003 with the purpose of integrating a global navigation satellite system (GNSS) and an inertial navigation system (INS). This technology can improve the tracking performances of a receiver by reconfiguring the tracking loop