{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:POATIXKOOELMXA6UZSTTVCMBZ3","short_pith_number":"pith:POATIXKO","schema_version":"1.0","canonical_sha256":"7b81345d4e7116cb83d4cca73a8981cedecdbb64ad06dd75db0994bc8d8481c0","source":{"kind":"arxiv","id":"2406.09695","version":3},"attestation_state":"computed","paper":{"title":"Machine Learning-based Near-field Emitter Location Sensing via Grouped Hybrid Analog and Digital XL-MIMO Receive Array","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Cunhua Pan, Feng Shu, Jiangzhou Wang, Jiatong Bai, Kang Wei, Yaoliang Song, Yifan Li, Yongpeng Wu","submitted_at":"2024-06-14T03:42:18Z","abstract_excerpt":"As a green MIMO structure, the partially-connected hybrid analog and digital (PC-HAD) structure has been widely used in the far-field (FF) scenario for it can significantly reduce the hardware cost and complexity of large-scale or extremely large-scale MIMO (XL-MIMO) array. Recently, near-field (NF) emitter localization including direction-of-arrival (DOA) and range estimations has drawn a lot of attention, but is rarely explored via PC-HAD structure. In this paper, we first analyze the impact of PC-HAD structure on the NF emitter localization and observe that the phase ambiguity (PA) problem "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2406.09695","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.SP","submitted_at":"2024-06-14T03:42:18Z","cross_cats_sorted":[],"title_canon_sha256":"727c389bc5c142a0e0e2ca7d798d37ddac2e92a53464c36a2f5ff962dd37ed9e","abstract_canon_sha256":"662ba8d7688c79e8a238995986d6bc5b7131f287e37c4a071c4e02da355b952f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:46:55.039902Z","signature_b64":"sgbA8s2VMukC0HjQ9us9OcUKFI7uAXly1tN96yAXUBLidzQbDTY10GMiLPKtQo8jfJSgf5CpRRe+kCYXZ7soAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b81345d4e7116cb83d4cca73a8981cedecdbb64ad06dd75db0994bc8d8481c0","last_reissued_at":"2026-07-05T10:46:55.039355Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:46:55.039355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Machine Learning-based Near-field Emitter Location Sensing via Grouped Hybrid Analog and Digital XL-MIMO Receive Array","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Cunhua Pan, Feng Shu, Jiangzhou Wang, Jiatong Bai, Kang Wei, Yaoliang Song, Yifan Li, Yongpeng Wu","submitted_at":"2024-06-14T03:42:18Z","abstract_excerpt":"As a green MIMO structure, the partially-connected hybrid analog and digital (PC-HAD) structure has been widely used in the far-field (FF) scenario for it can significantly reduce the hardware cost and complexity of large-scale or extremely large-scale MIMO (XL-MIMO) array. Recently, near-field (NF) emitter localization including direction-of-arrival (DOA) and range estimations has drawn a lot of attention, but is rarely explored via PC-HAD structure. In this paper, we first analyze the impact of PC-HAD structure on the NF emitter localization and observe that the phase ambiguity (PA) problem "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09695","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.09695/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2406.09695","created_at":"2026-07-05T10:46:55.039419+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.09695v3","created_at":"2026-07-05T10:46:55.039419+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09695","created_at":"2026-07-05T10:46:55.039419+00:00"},{"alias_kind":"pith_short_12","alias_value":"POATIXKOOELM","created_at":"2026-07-05T10:46:55.039419+00:00"},{"alias_kind":"pith_short_16","alias_value":"POATIXKOOELMXA6U","created_at":"2026-07-05T10:46:55.039419+00:00"},{"alias_kind":"pith_short_8","alias_value":"POATIXKO","created_at":"2026-07-05T10:46:55.039419+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2504.13455","citing_title":"Modular XL-Array-Enabled 3-D Localization based on Hybrid Spherical-Planar Wave Model in Terahertz Systems","ref_index":42,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/POATIXKOOELMXA6UZSTTVCMBZ3","json":"https://pith.science/pith/POATIXKOOELMXA6UZSTTVCMBZ3.json","graph_json":"https://pith.science/api/pith-number/POATIXKOOELMXA6UZSTTVCMBZ3/graph.json","events_json":"https://pith.science/api/pith-number/POATIXKOOELMXA6UZSTTVCMBZ3/events.json","paper":"https://pith.science/paper/POATIXKO"},"agent_actions":{"view_html":"https://pith.science/pith/POATIXKOOELMXA6UZSTTVCMBZ3","download_json":"https://pith.science/pith/POATIXKOOELMXA6UZSTTVCMBZ3.json","view_paper":"https://pith.science/paper/POATIXKO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.09695&json=true","fetch_graph":"https://pith.science/api/pith-number/POATIXKOOELMXA6UZSTTVCMBZ3/graph.json","fetch_events":"https://pith.science/api/pith-number/POATIXKOOELMXA6UZSTTVCMBZ3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/POATIXKOOELMXA6UZSTTVCMBZ3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/POATIXKOOELMXA6UZSTTVCMBZ3/action/storage_attestation","attest_author":"https://pith.science/pith/POATIXKOOELMXA6UZSTTVCMBZ3/action/author_attestation","sign_citation":"https://pith.science/pith/POATIXKOOELMXA6UZSTTVCMBZ3/action/citation_signature","submit_replication":"https://pith.science/pith/POATIXKOOELMXA6UZSTTVCMBZ3/action/replication_record"}},"created_at":"2026-07-05T10:46:55.039419+00:00","updated_at":"2026-07-05T10:46:55.039419+00:00"}