Radial basis function neural network aided adaptive extended Kalman filter for spacecraft relative navigation
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
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
- bronze
- doi.org
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review