Interference Detection, Classification and Cancellation from Space

• To develop a simulation tool able to assess the performance of different algorithms for detection, isolation, classification, characterization and geolocation of interfering signals.• To assess the performance of such algorithms and possible concepts in different scenarios of interest considering interfering signals.

Intentional and unintentional electromagnetic transmission can interfere with various space-borne receiving systems. Generally, such occasions are called Radio Frequency Interferences (RFI). Reports of RFI problems can be found from many space application domains that use radio receiving systems: Satellite navigation services (such as the Galileo service), telecommunications, Earth Observation, or satellite telemetry, tracking and commanding services.This activity has developed a Matlab-based simulator (called IDS Simulator) environment that is capable in simulating various RFI detection, isolation, characterization, classification and localization (DISCCL) algorithms in generic scenarios. The user can set-up and configure many aspects of RFI transmitters, satellites, satellite receivers and the DISCCL algorithms themselves.The two ultimate aims of this activity were: 1) To develop a simulator tool that makes various RFI threat scenarios available with wide variety of realistically tunable parameters, and 2) To study the performance of selected DISCCL algorithms and their sensitivity to selected system parameters. The generic scenario established by the IDS Simulator includes - transmitters with configurable signal, receiver and antenna properties, satellites with configurable orbit definition and propagation, satellite receiving systems with detailed characteristics for antennas and receivers, and finally, a variety of configurable DISCCL algorithms.