pith:2SALJS6I
Cauchy-Gaussian Overbound for Heavy-tailed GNSS Measurement Errors
A Cauchy core plus Gaussian tails tightly overbounds heavy-tailed GNSS errors while preserving the property through convolution.
arxiv:2601.07299 v2 · 2026-01-12 · stat.AP
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Claims
our method can sharply bound heavy-tailed errors at both core and tail regions. In the position domain, the proposed method reduces the average vertical protection level by 15% for s.u. heavy-tailed errors compared to the single-CDF Gaussian overbound, and by 21% to 47% for n.s.u. heavy-tailed errors compared to the Navigation Discrete ENvelope and two-step Gaussian overbounds.
The heavy-tailed GNSS measurement errors are unimodal (symmetric or not) and can be overbounded by a Cauchy core plus Gaussian tails with parameters chosen via the proposed procedure without violating the overbound in real data.
A Cauchy-Gaussian overbound is developed to sharply bound heavy-tailed GNSS errors in core and tails, with a procedure for symmetric and asymmetric unimodal cases, a proof that the bound is preserved under convolution, and experimental reductions in vertical protection levels of 15-47% versus prior
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| First computed | 2026-05-28T01:04:35.221776Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d480b4cbc8f4725a738f915029fd4238a91f2900285331769ce6bd583fec21a1
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/2SALJS6I6RZFU44PSFICT7KCHC \
| 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())"
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Canonical record JSON
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