Kernel-based ensemble gaussian mixture filtering for orbit determination with sparse data

Sehyun Yun; Renato Zanetti; Brandon A. Jones

doi:10.1016/j.asr.2022.03.041

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Kernel-based ensemble gaussian mixture filtering for orbit determination with sparse data

Sehyun Yun Renato Zanetti Brandon A. Jones

Year: 2022 Journal: Advances in Space Research Vol: 69 (12)Pages: 4179-4197 Publisher: Elsevier BV

DOI: 10.1016/j.asr.2022.03.041

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Keywords:

Computer science Algorithm Gaussian Kernel (algebra) Kernel density estimation Rule of thumb Orbit determination Orbit (dynamics) Particle filter Kalman filter Artificial intelligence Mathematics Statistics Estimator Global Positioning System Physics

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Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Geophysics and Gravity Measurements

Physical Sciences → Earth and Planetary Sciences → Oceanography

GNSS positioning and interference

Physical Sciences → Engineering → Aerospace Engineering

Kernel-based ensemble gaussian mixture filtering for orbit determination with sparse data

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