pith:YUULR4ZL
Localization in OFDM Passive Distributed Antenna Systems with Pilots and Unknown Data Payloads: A Marginal Maximum Likelihood Approach
A marginal maximum likelihood estimator localizes OFDM signals by using both pilots and unknown data symbols without decoding.
arxiv:2605.12557 v1 · 2026-05-11 · eess.SP
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Claims
we derive a Marginal Maximum Likelihood (MML) estimator that jointly leverages pilot and data payloads without requiring data decoding, enabling operation with high-order constellations and under challenging noise conditions.
The unknown data symbols follow a known statistical distribution from the constellation and can be marginalized exactly under the assumed channel and noise model; this must hold for the estimator to achieve the reported gains without decoding.
Derives a marginal maximum likelihood estimator that uses both pilot and unknown data symbols for improved localization in OFDM passive distributed antenna systems without requiring data decoding.
References
Receipt and verification
| First computed | 2026-05-18T03:10:02.038591Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c528b8f32b3d2e3e4e12cceb186f75c4821b7f4f9c085305a592a42da6d1c48d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YUULR4ZLHUXD4TQSZTVRQ33VYS \
| 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: c528b8f32b3d2e3e4e12cceb186f75c4821b7f4f9c085305a592a42da6d1c48d
Canonical record JSON
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