Computationally Efficient Multi-Target Tracking for Space Situational Awareness
C++ Implementation of Advanced MTT Algorithms
B.I. Kolev (TU Delft - Aerospace Engineering)
S. Gehly – Mentor (TU Delft - Astrodynamics & Space Missions)
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Abstract
This research aims to advance the field of Space Situational Awareness (SSA) by optimizing multi-sensor multi-target tracking (MSMTT) algorithms within the Random Finite Set (RFS) framework. The project focuses on addressing the computational challenges posed by the increasing number of Resident Space Objects (RSOs) through the development of an efficient, scalable estimator capable of handling dense object environments and ambiguous data. Key components of this research include a detailed evaluation of existing RFS methods showing promise in the field of SSA, such as Labelled Multi-Bernoulli methods (LMB). By integrating and enhancing these techniques, the project aims to improve tracking accuracy and computational efficiency by implementing the filters using C++ source code, thereby supporting both current space operations and future mission planning.