Master Thesis, 30 HP: Investigating AI-Based Target Detection and Characterization in Raw I/Q Data for Bistatic Radar

Tasks

• Design and implement AI model for raw IQ data processing
• Evaluate inference speed and accuracy
• Review state of the art AI methods for radar target detection and characterization
• Test model generalization across bistatic configurations and noise levels
• Train AI model on diverse radar datasets

Perks/Benefits

• Security vetting

Skills/Tech-stack

Deep learning | MATLAB | Machine Learning | PyTorch | Python | Radar Signal Processing | Signal Processing