pith:6NVV5OVI
An Information-Based Micro-Kalman Filter for Satellite Tracking: A Comparative Study
The micro-Kalman filter matches classical Kalman filter performance for satellite state estimation using a radial-angular model.
arxiv:2304.04111 v3 · 2023-04-08 · eess.SY · cs.SY · math.DS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6NVV5OVIDKDMBKMAECBJFUO53F}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
The proposed μKF achieves estimation performance nearly identical to that of the classical Kalman filter and its variants, with small and bounded estimation errors. The mean square estimation error (MSEE) remains low for all state variables under both noise configurations.
Satellite dynamics are accurately captured by the chosen linearized radial-angular model and the two measurement noise sources are mutually independent with known covariance matrices.
Applies and compares micro-Kalman filter with classical KF, EKF, UKF and adaptive KF for linearized satellite state estimation under two noise models.
Receipt and verification
| First computed | 2026-06-23T01:12:43.473189Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f36b5ebaa81a86c0a980208292d1ddd95b6c38eaa8f77f90aad06350bf33341b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6NVV5OVIDKDMBKMAECBJFUO53F \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f36b5ebaa81a86c0a980208292d1ddd95b6c38eaa8f77f90aad06350bf33341b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9e74dc43159c81c82cd72e9e23e4534166f59fbcad2cac54c0325ddcb03986d5",
"cross_cats_sorted": [
"cs.SY",
"math.DS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SY",
"submitted_at": "2023-04-08T22:05:11Z",
"title_canon_sha256": "e9744fc4698516d64c447a4f8dae628d8214f72a87efd7298fb1edca81b9ebc8"
},
"schema_version": "1.0",
"source": {
"id": "2304.04111",
"kind": "arxiv",
"version": 3
}
}