Hybridizing GNSS, integrated sensors and terrestrial positioning signals for seamless navigation of ground based users

The objective of this activity is 1) to study the performance improvement of the navigation of terrestrial users by using optimal processing of Galileo signals and by hybridizing measurements from GNSS systems and different types of sensors and signals. 2) Define the perimeter of the target performance requirements for the Galileo system evolutions and for different user applications

Mass market receivers are currently basing the provision of position and navigation functionalities by using a number of different signals (GNSS as primary means of navigation, cellular network etc.). The introduction of Galileo and Assisted Galileo services in the mass market applications, will bring significant benefits to the users, especially for applications in harsh conditions and environments, like urban/suburban. Furthermore, the introduction of positioning signals from terrestrial networks and the available plurality of sensors in a commercial receiver, offers the opportunity of hybridization for the improvement on the navigation performance for the majority of users. New standards are also being created (e.g. 5G) that could have important impact on the performance of the Navigation function in the receivers. This activity aims to: -Generate realistic scenarios to validate and promote the adoption of A-Galileo capable receivers -Develop the tools to emulate the processing and operations of mass market receivers -Investigate state of the art high sensitivity acquisition and tracking techniques by the optimal use of Galileo and Assisted-Galileo services -Investigate innovative techniques to hybridize the GNSS and other signals (e.g. 3G/4G) and sensor data (e.g. IMU) -Analyze the performance improvement relative to current solutions, by experimentation The activity will provide inputs for the consolidation of the roadmap for the GALILEO system evolution, in the area of signal and receiver performance.