{"paper":{"title":"Cross-Harmonic Ambiguity-Aligned Multiport Parameter Estimation for Time-Floquet RIS","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"A segmented estimation method aligns per-harmonic ambiguities to build accurate proxy TF-MNT models for time-Floquet RIS from end-to-end measurements.","cross_cats":["physics.app-ph"],"primary_cat":"eess.SP","authors_text":"Philipp del Hougne","submitted_at":"2026-05-12T22:57:21Z","abstract_excerpt":"A time-Floquet reconfigurable intelligent surface (TF-RIS) periodically modulates its elements within a signaling interval, enabling frequency conversion and additional degrees of freedom compared with a conventional RIS. Time-Floquet multiport-network theory (TF-MNT) provides a physics-consistent model for TF-RISs that accounts for inter-element coupling, but its practical use requires estimating the underlying parameters when the TF-RIS design and radio environment are (partially) unknown. In this Letter, we propose a segmented estimation approach for constructing an accurate proxy TF-MNT mo"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"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.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"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.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"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.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A segmented estimation method aligns per-harmonic ambiguities to build accurate proxy TF-MNT models for time-Floquet RIS from end-to-end measurements.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"f2b6a0a9724c9a2fc24f68b7b2fcf2cf8a15870ad342710ea66324ed662bcce4"},"source":{"id":"2605.12806","kind":"arxiv","version":1},"verdict":{"id":"a28c6dbf-c561-4844-bcb5-56d88402550b","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-14T19:19:21.210347Z","strongest_claim":"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.","one_line_summary":"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.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"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.","pith_extraction_headline":"A segmented estimation method aligns per-harmonic ambiguities to build accurate proxy TF-MNT models for time-Floquet RIS from end-to-end measurements."},"references":{"count":16,"sample":[{"doi":"","year":2021,"title":"End-to-end mutual coupling aware communication model for reconfigurable intelligent surfaces: An electromagnetic-compliant approach based on mutual impedances","work_id":"510780d3-ab83-4beb-8d91-c8ed5749d442","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2018,"title":"Space-time-coding digital metasurfaces","work_id":"814483fd-e1f3-4355-88b0-37e5a5338ff5","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"Wireless communications with space–time modulated metasurfaces","work_id":"148aecab-50a1-4112-8cde-180ecd47a870","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"Rapidly time-varying reconfigurable intelligent surfaces for downlink multiuser transmissions","work_id":"2e28fa6f-b838-4225-aa21-b4d5bdc79ad4","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2025,"title":"A multifrequency system model for multiport time-modulated scatterers","work_id":"5a6d5508-a284-4562-bc35-9b05870acb30","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":16,"snapshot_sha256":"9c857edbc90e2dfa07a984b168cffc069d31736a223d1006cb592092eb6fb7e6","internal_anchors":1},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}