Skip to content

mark162657/Missile-Navigation-Simulation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

87 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Advanced Missile Guidance Framework

Simulates a Tomahawk-class cruise missile guidance system over real-world satellite terrain data (DEM), featuring GPS navigation, TERCOM terrain matching, Kalman filter sensor fusion, and proportional navigation guidance. Modular by design for scalable experimentation and educational use.


Overview

The project focuses on realistic simulation of missile guidance over digital elevation maps. Initial implementation provides foundational features: terrain loading, coordinate conversion, GPS/TERCOM guidance components, and classic sensor fusion. This codebase is structured for easy extension to advanced AI, radar, and complex engagement scenarios in later phases.


Features (Initial Phase)

  • Load and merge real DEM (SRTM) tiles over 500-1000 km² areas
  • Convert between GPS (lat/lon) and local Cartesian (XY meters)
  • Query elevation and compute terrain profiles along paths
  • Simulate GPS navigation with realistic sensor noise and dropouts
  • Implement TERCOM (Terrain Contour Matching) for position correction
  • Foundational sensor fusion via Kalman filter
  • A* pathfinding over terrain with elevation constraints
  • Proportional navigation guidance toward target

Work In Progress.....

Planning Interface

A lightweight desktop planning interface is available for drafting missions before the full simulator is finished.

Run it from the project root:

python3 planner.py

Missile configurations now have a dedicated manager app:

python3 missile_configurator.py

What it supports right now:

  • Select a DEM file from data/dem/
  • Select a named missile configuration from shared storage in data/missiles/configurations.json
  • Open a dedicated missile configuration app to create, rename, edit, and delete missile presets
  • Enter start and target GPS coordinates
  • Add, edit, reorder, and remove waypoints
  • Use an interactive embedded map with pan/zoom tools and click-to-place mission points
  • Validate whether both coordinates are inside the loaded terrain
  • Run the C++ pathfinder from the planner for start -> waypoints -> target routing
  • Preview the DEM in the planner with automatic crop-and-downsample around the mission area
  • Launch an optional external GPU preview window when fastplotlib is available
  • Estimate direct-flight distance, time, and turning radius
  • Save and load planning drafts as JSON in plans/

About

Missile guidance system with real-world DEM and sensor fusion (GPS + TERCOM + INS), merged and predicted with Kalman Filter. Focusing on software algorithm.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors