pith:EWMDB6AI
Cross-Harmonic Ambiguity-Aligned Multiport Parameter Estimation for Time-Floquet RIS
A segmented estimation method aligns per-harmonic ambiguities to build accurate proxy TF-MNT models for time-Floquet RIS from end-to-end measurements.
arxiv:2605.12806 v1 · 2026-05-12 · eess.SP · physics.app-ph
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Claims
The proposed segmented estimation approach with cross-harmonic ambiguity alignment constructs an accurate proxy TF-MNT model from end-to-end measurements, as quantified by full-wave numerical simulations and demonstrated via performance loss without alignment in a harmonic backscatter scenario.
That the inherent ambiguities among the per-harmonic conventional proxy MNT parameters can be aligned using the three specified measurement setups with different access to phase and harmonic information.
A cross-harmonic ambiguity alignment technique constructs accurate proxy TF-MNT models for time-Floquet RIS from end-to-end measurements, with simulation-based quantification of accuracy versus measurement count and noise.
References
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| First computed | 2026-05-18T03:09:12.603452Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
259830f80841b5bd0bb57eff400bf2fd43740763c89efeee5e8fe281d612f3da
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/EWMDB6AIIG232C5VP37UAC7S7V \
| 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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