
About
Julien Lesouple is a Lecturer/Researcher at the Ecole Nationale de l'Aviation Civile (ENAC) within the SIGNAV team. His expertise lies in statistical signal processing applied to navigation systems, particularly focusing on GNSS (Global Navigation Satellite Systems). He holds a Ph.D. in Signal Processing from ISAE-SUPAERO and has conducted postdoctoral research on anomaly detection and passive radar performance. His work addresses challenges in GNSS interference, multipath mitigation, and robust signal processing techniques.
Education:
- Ph.D. in Statistical Signal Processing, Toulouse INP (2019)
- Eng. Degree in Aeronautical Engineering, ISAE Ensica, Toulouse (2014)
Research Interests: Julien's research spans statistical signal processing for navigation, with a focus on GNSS vulnerability analysis, anomaly detection, and robust estimation algorithms. His contributions include methods for multipath mitigation, interference detection (jamming/spoofing), and hypersphere fitting techniques. He also explores AI-driven solutions for satellite monitoring and sensor fusion for navigation systems.
Key Research Trends: Recent publications highlight advancements in handling GNSS interference, improving receiver robustness, and integrating machine learning for anomaly detection. His work emphasizes practical applications in aviation and aerospace safety, particularly in GNSS-challenged environments.
Labs/Teams: Active member of the SIGNAV team at ENAC, focusing on navigation and signal processing research. Collaborations include work with Thales Alenia Space and institutions like ISAE-SUPAERO.
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