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pith:YUULR4ZL

pith:2026:YUULR4ZLHUXD4TQSZTVRQ33VYS
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Localization in OFDM Passive Distributed Antenna Systems with Pilots and Unknown Data Payloads: A Marginal Maximum Likelihood Approach

J\'er\^ome Louveaux, Luc Vandendorpe, Martin Willame, Mathieu Reniers

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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\pithnumber{YUULR4ZLHUXD4TQSZTVRQ33VYS}

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3 Author claim open · sign in to claim
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Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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

37 extracted · 37 resolved · 1 Pith anchors

[1] Cooperative ISAC Networks: Opportunities and Challenges, 2024
[2] Radar and Communica- tion Coexistence: An Overview: A Review of Recent Methods, 2019
[3] A Survey on Joint Communication-Radar Systems, 2021
[4] Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead, 2020
[5] Joint radar and communication: A survey, 2020
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

arxiv: 2605.12557 · arxiv_version: 2605.12557v1 · doi: 10.48550/arxiv.2605.12557 · pith_short_12: YUULR4ZLHUXD · pith_short_16: YUULR4ZLHUXD4TQS · pith_short_8: YUULR4ZL
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
{
  "metadata": {
    "abstract_canon_sha256": "e13fd33b256ca4de59c80b9c456a08557d2aa0d5b6d527aa894feec12e71c162",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "eess.SP",
    "submitted_at": "2026-05-11T14:34:05Z",
    "title_canon_sha256": "29068f4bf9a5741f544abd9dc113c74e3881cb254cf7204a93058765b7a6d2c4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12557",
    "kind": "arxiv",
    "version": 1
  }
}