Improved orbit predictions using two-line elements
Creon Levit, William Marshall

TL;DR
This paper presents a method to significantly improve orbit prediction accuracy using least-squares fitting of TLE data and high-precision propagation, enhancing collision avoidance capabilities in space debris management.
Contribution
The paper introduces a novel orbit prediction method that achieves a tenfold accuracy improvement over traditional TLE propagation, aiding collision avoidance systems.
Findings
Predicted range error increases at about 100 meters per day.
Method improves orbit prediction accuracy by approximately ten times.
Potential for operational collision avoidance with debris.
Abstract
The density of orbital space debris constitutes an increasing environmental challenge. There are three ways to alleviate the problem: debris mitigation, debris removal and collision avoidance. This paper addresses collision avoidance, by describing a method that contributes to achieving a requisite increase in orbit prediction accuracy. Batch least-squares differential correction is applied to the publicly available two-line element (TLE) catalog of space objects. Using a high-precision numerical propagator, we fit an orbit to state vectors derived from successive TLEs. We then propagate the fitted orbit further forward in time. These predictions are compared to precision ephemeris data derived from the International Laser Ranging Service (ILRS) for several satellites, including objects in the congested sun-synchronous orbital region. The method leads to a predicted range error that…
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