Nonlinear Regression-Based GNSS Multipath Modelling in Deep Urban Area

GPS Multipath Mitigation: A Nonlinear Regression Approach

Under assumption that the surrounding environment remains unchanged, multipath contamination of GPS measurements can be formulated as a function of the sidereal repeatable geometry of the satellite with respect to the fixed receiver. Hence, multipath error estimation amounts to a regression problem. We present a method for estimating code multipath error of GPS ground fixed stations. By formula...

A Study of City Building Model Based Positioning Method Using Multi-gnss in Deep Urban Canyon

The current global navigation satellite systems (GNSS) receiver cannot calculate satisfactory positioning results in urban environment due to multipath and non-line-of-sight (NLOS) effects. The research team of The University of Tokyo developed a particle filter based positioning method using a basic 3-dimension city building to rectify the positioning result of commercial GPS single frequency ...

GNSS Urban Localization Enhencement using Dirichlet Process Mixture Modelling

Precise GNSS localization in urban environment is a key point for the development of a new generation of applications based on systems like GPS or Galileo. Whatever the complexity of the systems, measurement noise linked to multipath cannot be taken into account a priori and must be processed locally. We have shown that this noise can be modelled by a mixture of gaussian. Classical receiver bas...

Multipath Propagation, Characterization and Modeling in GNSS

GNSS Multipath Error Reduction in Harsh Environments

The performance of code delay and carrier phase estimation of a GNSS signal propagated in an urban or indoor environment is highly degraded by multipath when the conventional multipath mitigation techniques such as narrow correlator and double delta correlator are applied. These conventional techniques rely on the value of the delay corresponding to the peak of the autocorrelation function. In ...