pith:Q72YA664
Fundamental Performance Limits of Non-Coherent ISAC: A Data-Aided Sensing Perspective
Data-aided sensing in non-coherent ISAC systems delivers a strict 3 dB effective SNR improvement at low SNR and faster distortion scaling at high SNR than pilot sensing.
arxiv:2605.16196 v1 · 2026-05-15 · cs.IT · math.IT
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Claims
For the DAS scheme, a closed-form asymptotic expression for the sensing distortion is derived by using random matrix theory (RMT). The asymptotic performance analysis explicitly quantifies the significant gains of the DAS scheme, revealing a strict 3 dB effective SNR improvement in the low-SNR regime and a strictly faster performance scaling rate in the high-SNR limit compared to the PS scheme.
The analysis assumes unknown channel state information at the co-located sensing and communication receivers together with a block-fading channel model; if this non-coherent premise is relaxed or the receivers are not co-located, the claimed rate-distortion functions and asymptotic gains no longer apply directly.
In non-coherent bistatic MIMO ISAC, data-aided sensing yields a strict 3 dB effective SNR improvement at low SNR and faster performance scaling at high SNR versus pilot sensing, via closed-form random matrix theory asymptotics.
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Receipt and verification
| First computed | 2026-05-20T00:01:57.498239Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
87f5807bdcf0bba1c4a7900228cfa26f846cf0bfbdb3af8fe901c28d4ac20243
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q72YA6646C52DRFHSABCRT5CN6 \
| 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: 87f5807bdcf0bba1c4a7900228cfa26f846cf0bfbdb3af8fe901c28d4ac20243
Canonical record JSON
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