Cited by 95Target Tracking and Data Fusion in Sensor NetworksInertial Sensor and NavigationSpacecraft Dynamics and Control

Radial basis function neural network aided adaptive extended Kalman filter for spacecraft relative navigation

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Pesce, Vincenzo, Silvestrini, Stefano, Lavagna, Michèle·2020·Aerospace Science and Technology

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Crossref · 10.1016/j.ast.2019.105527

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References 26 · Cited by 95

Authors
Pesce, V., Silvestrini, S., & Lavagna, M.
Affiliations
Politecnico di Milano (IT)
Corresponding author
  • Pesce, Vincenzo
  • Silvestrini, Stefano
Venue
Aerospace Science and Technology
Publisher
Elsevier BV
Published
2020-01
Volume
96
Pages
105527
ISSN
1270-9638 (ISSN-L)
OpenAlex
W2986093098
Cited by
95
References
26
Citations by year
2026: 5 · 2025: 18 · 2024: 14 · 2023: 15 · 2022: 19 · 2021: 14 · 2020: 10
FWCI
4.96
Type
journal article
Language
en
Open access
Locations
  • Aerospace Science and Technology (publishedVersion)
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
  • Physical Sciences › Engineering › Aerospace Engineering › Inertial Sensor and Navigation
  • Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Dynamics and Control
Keywords
spacecraft relative navigation, adaptive extended Kalman filter, radial basis function neural network, state estimation, disturbance estimation, unmodeled dynamics, off-nominal conditions, filter robustness

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