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Adaptive Filtering for Cislunar Object Tracking by gaston22 is a document available to read on EtoBox.
This paper introduces the Adaptive Gaussian Mixture Interacting Multiple Model (AGMIMM) filter for tracking noncooperative maneuvering cislunar space objects (CSOs) amidst chaotic dynamics and observation gaps. The AGMIMM filter adapts to stochastic changes in target modality and employs a cluster-based merging algorithm to enhance state estimation performance. The effectiveness of this novel filtering approach is demonstrated through simulations of CSOs following Artemis I-like trajectories using angles-on
- Author
- gaston22
- Language
- EN