Finding the optimal feature vector for detecting the environmental соnтtext from global navigation satellite systems datа

In global navigation satellite systems, positioning quality indicators depend on both environmental conditions and user behaviour. The environment affects the reception quality of the radio signals that are available for positioning. An adaptive navigation solution is required to operate in different environmental conditions, which will detect the type of environment and apply different methods for navigation solution. The features formed from the received navigation signal data that can be used to determine the type of environment are discussed. This paper is devoted to finding an optimal feature vector for determining the type of environment from information from global navigation satellite systems. Experimental navigation data for different types of environment are collected. Criteria and methods for determining the optimal feature vector using algorithms from mathematical statistics are considered. The optimal feature vector that contributes the most to the determination of different types of environment is proposed.