Pith Number

pith:PIWLKFGU

pith:2026:PIWLKFGUZSKRBFPWUKKTLZ7KFL

not attested not anchored not stored refs resolved

Enabling Indoor Multi-Person Tracking With 6G mmWave ISAC Systems

Aimin Tang, Chaojun Xu, Chongrui Wang, Fei Gao

mmWave ISAC systems can track multiple people indoors with 12 cm median accuracy using sparse sensing signals and one receiver.

arxiv:2605.03333 v1 · 2026-05-05 · eess.SP

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Experimental results demonstrate that our proposed design achieves a median position error of 12 cm for multi-person tracking with path-crossing in the indoor environment with a single receiver.

C2weakest assumption

The three proposed mechanisms (modified MTI under sparse RS spacing, effective target identification, and Kalman filter with penalty association) remain robust against complex indoor clutter and track crossings when deployed outside the specific prototype conditions.

C3one line summary

An mmWave ISAC prototype tracks multiple crossing persons indoors at 12 cm median error using under 0.005% sensing overhead via modified MTI clutter removal, false-target filtering, and penalized Kalman association.

References

16 extracted · 16 resolved · 0 Pith anchors

[1] Integrated sensing and communications: Towards dual-fun ctional wire- less networks for 6G and beyond, 2022

[2] Device-free tracking via joint vel ocity and AOA estimation with commodity WiFi, 2019

[3] Widar: De cimeter- level passive tracking via velocity monitoring with commod ity Wi-Fi, 2017

[4] Infe rring motion direction using commodity Wi-Fi for interactive exe rgames, 2017

[5] Widir: walkin g direction estimation using wireless signals, 2016

Receipt and verification

First computed	2026-06-01T01:02:41.338028Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7a2cb514d4cc951095f6a29535e7ea2afa1d472b06a24ba7940a83a0abd68910

Aliases

arxiv: 2605.03333 · arxiv_version: 2605.03333v1 · doi: 10.48550/arxiv.2605.03333 · pith_short_12: PIWLKFGUZSKR · pith_short_16: PIWLKFGUZSKRBFPW · pith_short_8: PIWLKFGU

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/PIWLKFGUZSKRBFPWUKKTLZ7KFL \
  | 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: 7a2cb514d4cc951095f6a29535e7ea2afa1d472b06a24ba7940a83a0abd68910

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "09e66f1ef0a55e9bc49a230a8dab9f0daee98e70f427cf250d40ca838fda1ac6",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.SP",
    "submitted_at": "2026-05-05T03:54:19Z",
    "title_canon_sha256": "51d32d1616f6ffeaa7915150ffae7279a15716b927d575eab8ecf30bf55089c4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.03333",
    "kind": "arxiv",
    "version": 1
  }
}