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Loading...Introduction to Orbital Debris Tracking
Last quarter, our team encountered significant challenges while tracking orbital debris using traditional methods. The increasing number of satellites and space junk in Earth's orbit necessitates the development of more accurate and efficient tracking algorithms. In this article, I'll share our experience comparing Three-Line Element (TLE), Unscented Kalman Filter (UKF), and Extended Kalman Filter (EKF) algorithms using Orekit 11.0 and Python 3.12.
The Problem with Traditional Methods
Most developers miss the critical step of accounting for non-gravitational forces when using TLE for orbital debris tracking. This oversight can lead to significant errors in position and velocity calculations. To address this, we explored the use of UKF and EKF, which can handle non-linear systems and non-Gaussian noise.
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