🎯 One-Page-One-Mission (Khéops)

▶️ Lancer l'application

Acoustic drone detection and fire control simulator with real-time 3D localization.

🚀 Features

• TDOA Multilateration — Chan algorithm for 3D position estimation
• Kalman Filter — 6-state fusion (position + velocity)
• RANSAC — Outlier rejection for robust tracking
• ISO 9613-1 — Accurate speed of sound calculation (temperature, humidity, pressure, CO₂)
• Doppler Integration — Radial velocity estimation with dead-zone handling
• Wind Simulation — Realistic atmospheric perturbation model
• Fire Control — Automatic handover from acoustic to optical tracking
• Real-time Visualization — Leaflet map, side view, camera view, reticle

🛠️ Tech Stack

• Pure HTML/CSS/JavaScript
• No external dependencies (except Leaflet for map tiles)
• Runs entirely in browser
• Single file, ~3000 lines

📖 Usage

1. Open `index.html` in your browser
2. Click START to begin simulation
3. Adjust parameters in the sidebar (wind, drone speed, temperature...)
4. Watch the acoustic system track the drone and hand over to optical fire control

🎓 Educational Purpose

This simulator demonstrates:

• Passive acoustic localization techniques
• Sensor fusion with Kalman filtering
• Counter-UAS (Unmanned Aerial System) concepts
• Real-time signal processing in JavaScript

📄 License

CC BY-NC 4.0 — Non-commercial use only.

👤 Author

Eric PERRET — GitHub