NextGenBeing Founder
Listen to Article
Loading...Introduction to Orbital Debris Tracking
Last quarter, our team discovered that tracking orbital debris was more complex than initially thought. With over 500,000 pieces of debris in Earth's orbit, the risk of collisions is increasing. To tackle this problem, we turned to Python 3.12, NumPy 1.24, and Pandas 1.6. In this article, I'll share our experience with two popular algorithms: Two-Line Element (TLE) and Simplified General Perturbations-4 (SGP4).
The Problem with TLE
TLE is a widely used format for describing the orbit of an object. However, it has limitations. When I first tried to use TLE, it broke because the algorithm didn't account for atmospheric drag. After digging deeper, I realized that TLE is only accurate for a short period.
Unlock Premium Content
You've read 30% of this article
What's in the full article
- Complete step-by-step implementation guide
- Working code examples you can copy-paste
- Advanced techniques and pro tips
- Common mistakes to avoid
- Real-world examples and metrics
Don't have an account? Start your free trial
Join 10,000+ developers who love our premium content
Never Miss an Article
Get our best content delivered to your inbox weekly. No spam, unsubscribe anytime.
Comments (0)
Please log in to leave a comment.
Log In
