1. MITIGATION DES INTERFERENCES DANS LES COMMUNICATIONS SATELLITES
INTERFERENCE MITIGATON IN SATELLITE COMMUNICATION
AVIO-601 TEAM
PROJECT DESCRIPTION
Cognitive Hybrid Scenario for Satellite
Dr. René Landry
Principal Investigator
OBJECTIVES
DETAILS
DELIVERABLES
The AVIO-601 project aims to develop a technical framework to resolve satellite link interference issues and increase the global robustness of SatCom systems by following 5 objectives : 1) detection, 2) characterization, 3) geolocation, 4) mitigation, and 5) monitoring of the Radio Frequency Interference (RFI).
Detect the presence and identify all types of interference sources
Recognize, measure, and classify the interference signal signatures
Determine the interferer position, orientation and affected areas
Remove the interference, or at least, reduce their effects
Build an Atlas database for spectrum management allowing effective predictive and real-time interference counter-measures
Title : Interference Mitigation in Satellite Communication
CRIAQ Number : CRDPJ
Code : AVIO-601
Duration : 4 years
Research core team : 5 universities
Industrial collaboration : 4 partners
7 seniors researchers
 20 professional (support from industry partners)
14 students (PhD and Masters) and 3 HQP researchers.
Interference Detection Unit :
Prediction and real-time identification of interference occurrence.
Interference Characterization Unit :
Measurement and characteristics evaluation of interfering signals.
Interference Geolocation unit :
Fast and accurate location of the interfering signal source.
Anti-Jamming Unit :
Interference cancellation systems, methods and technologies
Spectrum Management, RFI Atlas and RFI Prediction Engine :
Intelligent RFI Spectrum Monitoring, reconfigurable and adaptable RFI Atlas manager with RFI best counter-measure technology to activate and RFI prediction algorithms to secure SatCom bands.
Prof. Wessam
Ajib
Prof. Long Le
Prof. Yousef
Shayan
Prof. Jean-Jacques Laurin
Prof. Chahe Nerguizian
Dr. Omar
Yeste
Alexis Sanou
Project manager
Hoda Nematollahi
PhD - Antenna
Dr. Mouhamed Abdulla
Post-doctoral fellow
Stéphane Tessier
Professional research Eng.
Current set-up demo involving :
AGI System Tool Kit (STK)
STK is a 2D and 3D modeling engine used to perform
modeling, simulation, analysis, and operations
software for ground, sea, air, and space assets.
RT Logic Satellite Emulator T400CS
Channel emulator featuring IF and RF
hardware-in-the-loop (HIL) tests:
flight and ground system testing
BeeCube Bee4 SDRplaforms
Platform serving as a complete “Satellite
Emulator" enabling real-time implementation
and emulation of Satellite transponder functionalities.
PROJECT INNOVATIONS
DETECTION UNIT
The future detection unit will embed hybrid Digital Signal Processing techniques to 1) – predict the occurrence of interfering and customer signals, and 2) to sense in real-time the presence of unknown sources of Radio Frequency Interference (RFI), and 3) to identify the interfering signals. This hardware unit will provide an accurate and fast solution for geolocation and monitoring units.
CHARACTERIZATION UNIT
The future characterization unit will provide Digital Signal Processing (DSP) algorithms to recognize, measure them and characterize the characteristics of interfering signal. The characterization parameters will help to identify an interference source, and maintain the traffic quality. This hardware unit will include powerful digital signal processor that simultaneously displays the desired carrier and the interfering carrier.
Gitsuzo
Tagawa
PhD - Monitoring
Abulasad
Elgamoudi
PhD - Geolocation
Tilahun
Getu
PhD - Detection
Dai Nguyen
Master - Adaptive radios
Sepehr
Khodadadi
PhD - Cognitive radios
Garbaya
Issam
Abdelrahman Elgebali
PhD - Mitigation
PROJECT DEVELOPMENT PHASES
GEOLOCATION UNIT
The future geolocation unit will embed DSP techniques to determine the origin (orientation, location) of interfering signals on communications satellites. Being able to interfering and characterize the interfering signal will simplify the task of geolocating hidden carriers deliberately, or accidently interfering with legitimate satellite traffic. This unit will likely employ a map-driven user interface to provide operators with the ability to perform complex RFI geolocation scenarios more efficiently and effectively.
ANTI-JAMMING UNIT
The future anti-jamming unit will be one of the most comprehensive RF interference (RFI) mitigation products to support day-to-day operations for satellite operators and bandwidth resellers so they can provide the best quality of service possible. The goal of this hardware unit will be to cancel interference from the satellite links. With this unit, AVIO-601 will be able to assure mostly :
Quality of Service
Interference-free communications
Time-sensitive delivery
ATLAS PLATFORM
The future Atlas platform will be a complete Satellite Monitoring System dedicated 1) to effective predictive RFI occurrence, 2) real-time RFI countermeasures, and 3) satellite communication spectrum management. This system will likely be an smart, adaptive, all-in-one solution to support day-to-day operations for satellite operators and bandwidth resellers. The platform features will then include :
An automatic recording of RFI in real-time,
A SatCom signal prediction engine to prevent collision RFI between satellites,
An automatic Monitoring/Alarms for Interference Detection,
An open database management for usual interfering signals on Satellite communications,
A map-driven user interface to display carriers,
An extensive carriers management,
A Forward Error (FEC) reporting
Additionally, the ATLAS must gradually be extended for monitoring multiple ground stations.
CONCLUSION
Real-time proof-of-concept full duplex RFI SatCom Emulator in laboratory
Successful results in on-orbit reconfiguration of satellite antenna coverage (mitigation goal)
Successful results in adaptive Notch filters for interference mitigation in GNSS (multiple notch filters).
Improvement in Multi-Linear Subspace Estimation and Projection
(MLSEP) for Efficient RFI Excision in SIMO Systems (detection goal)
Improvement in Cognitive Hybrid Scenario for Satellite
spectrum allocation (spectrum management goal)