Dual-frequency Collaborative Positioning for Minimization of GNSS Errors in Urban Canyons

Doppler and Pseudorange Measurements as Prediction Features for Multi-Constellation GNSS LoS/NLoS Signal Classification

“…Numerous methods have been proposed to detect and mitigate GNSS multipath and non-line-ofsight (NLoS) effects. Methods at the antenna level, such as using an antenna array or multi-frequency antenna, are efficient interference mitigating methods [5], [6]. Techniques related to the receiver design and the advanced algorithms deployed at the receiver level, such as vector tracking [7], can also mitigate multipath effects.…”

“…As for the navigation processor-based methods, such as 3D mapping and consistency checks, they are also widely used in the literature to label LoS/NLoS signals [8]- [10]. The labeled data can be used to aid machine learning (ML) algorithms based on the desired application [6]. The use of ML for GNSS has been presented in [3] The common signal classification method is to define a C/N o threshold where lower C/N o values are classified as unhealthy signals [11].…”