Ingénieur Localisation IR-UWB — Radar & ToF - Stage (H/F)
Core
Develop and validate an IR-UWB hybrid localization algorithm combining radar and Time-of-Flight modes to mitigate body shadowing effects at 8 GHz.
Role type
Research & Development (R&D) intern (final year engineering student)
Builds
Simulation models of RF propagation around the human body and hybrid localization algorithms
Domain
Automotive electronics, Wireless Communications, Radar & ToF
Deliverable
research
Required skills
RF wave propagation modeling, Python (NumPy, SciPy, Matplotlib) or MATLAB, Monte-Carlo simulations, Bayesian filtering (Kalman, Particle filters), UWB technology knowledge
Preferred skills
IEEE 802.15.4z standard knowledge, experience with RF measurement equipment (spectrum analyzers, VNA, oscilloscopes)
Responsibilities
Conduct literature review on IR-UWB and body shadowing mitigation, model body shadowing effects via simulation, design and implement hybrid localization algorithms, set up and operate UWB test benches, analyze experimental data and compare with simulations
Seniority
Intern (Final year engineering school or Master 2/3rd cycle)