Signal Processing Projects
Explore guided student projects in Signal Processing. Build hands-on skills with real aerospace tools and data.
3 projects
Combine with other filters →Track Nearby Aircraft with ADS-B and Visualize Patterns
Tap into live aircraft data and discover hidden flight patterns
Use the OpenSky Network API to collect real aircraft position data, plot flight paths on a map, compute basic statistics, and use k-means clustering to discover flight patterns. Your first data science project with real-time aviation data.
Start Project → Some AI/MLClassify Aircraft Types from ADS-B Trajectories
Identify what's flying overhead from how it flies
Extract flight trajectory features from OpenSky Network ADS-B data — climb rate, speed profile, turn radius, acceleration patterns — and train a classifier to identify aircraft types. Learn feature engineering on spatiotemporal data.
Start Project → AI/MLRadar Target Classification with Deep Learning
Classify drones, birds, and aircraft from synthetic radar signatures
Train a CNN on synthetic radar range-Doppler maps to classify aerial targets (drone, bird, aircraft, clutter). Generate realistic synthetic data using radar cross-section models and signal processing fundamentals.
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