{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:AYBJZHZZUU2KMSFXZ3CIXL3W2T","short_pith_number":"pith:AYBJZHZZ","schema_version":"1.0","canonical_sha256":"06029c9f39a534a648b7cec48baf76d4e4e0e319dd9f96798684570c5fd942ca","source":{"kind":"arxiv","id":"1804.00486","version":4},"attestation_state":"computed","paper":{"title":"Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Fei Wen, Haichao Wei, Peilin Liu, Yi Zhang","submitted_at":"2018-04-02T13:36:01Z","abstract_excerpt":"Accurate indoor localization has long been a challenging problem due to the presence of multipath. Joint direction-of-arrival (DOA) and time delay (TD) estimation is a promising technique for accurate indoor Localization in next generation WiFi and 5G, as it has the capability of separating the line-of-sight (LOS) signal from multipath signals in the TD space. Although the benefit of joint DOA and TD estimation over DOA-only estimation has been empirically shown long ago, it has not been theoretically justified yet. In this paper, we provide a theoretical proof of the benefit of joint DOA and "},"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":"1804.00486","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-04-02T13:36:01Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"982405b3c7dffd50842d434291303362f7a36d8de5dcbf345a3e07f7b2b846bb","abstract_canon_sha256":"8521a76e7fa6e5b794efd21632c243da9334ebf317a97f87eda38e79a58aa119"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:31:19.661398Z","signature_b64":"st/oNhOqZSAxVWgj97XYMRjldqs7bKgJyrRa2Jf1eHw3/ArZlK3eS63FCgWL3cW09UT2Os2E1dl4lC70YK6zAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06029c9f39a534a648b7cec48baf76d4e4e0e319dd9f96798684570c5fd942ca","last_reissued_at":"2026-07-05T03:31:19.660976Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:31:19.660976Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Fei Wen, Haichao Wei, Peilin Liu, Yi Zhang","submitted_at":"2018-04-02T13:36:01Z","abstract_excerpt":"Accurate indoor localization has long been a challenging problem due to the presence of multipath. Joint direction-of-arrival (DOA) and time delay (TD) estimation is a promising technique for accurate indoor Localization in next generation WiFi and 5G, as it has the capability of separating the line-of-sight (LOS) signal from multipath signals in the TD space. Although the benefit of joint DOA and TD estimation over DOA-only estimation has been empirically shown long ago, it has not been theoretically justified yet. In this paper, we provide a theoretical proof of the benefit of joint DOA and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00486","kind":"arxiv","version":4},"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/1804.00486/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":"1804.00486","created_at":"2026-07-05T03:31:19.661030+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.00486v4","created_at":"2026-07-05T03:31:19.661030+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00486","created_at":"2026-07-05T03:31:19.661030+00:00"},{"alias_kind":"pith_short_12","alias_value":"AYBJZHZZUU2K","created_at":"2026-07-05T03:31:19.661030+00:00"},{"alias_kind":"pith_short_16","alias_value":"AYBJZHZZUU2KMSFX","created_at":"2026-07-05T03:31:19.661030+00:00"},{"alias_kind":"pith_short_8","alias_value":"AYBJZHZZ","created_at":"2026-07-05T03:31:19.661030+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AYBJZHZZUU2KMSFXZ3CIXL3W2T","json":"https://pith.science/pith/AYBJZHZZUU2KMSFXZ3CIXL3W2T.json","graph_json":"https://pith.science/api/pith-number/AYBJZHZZUU2KMSFXZ3CIXL3W2T/graph.json","events_json":"https://pith.science/api/pith-number/AYBJZHZZUU2KMSFXZ3CIXL3W2T/events.json","paper":"https://pith.science/paper/AYBJZHZZ"},"agent_actions":{"view_html":"https://pith.science/pith/AYBJZHZZUU2KMSFXZ3CIXL3W2T","download_json":"https://pith.science/pith/AYBJZHZZUU2KMSFXZ3CIXL3W2T.json","view_paper":"https://pith.science/paper/AYBJZHZZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.00486&json=true","fetch_graph":"https://pith.science/api/pith-number/AYBJZHZZUU2KMSFXZ3CIXL3W2T/graph.json","fetch_events":"https://pith.science/api/pith-number/AYBJZHZZUU2KMSFXZ3CIXL3W2T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AYBJZHZZUU2KMSFXZ3CIXL3W2T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AYBJZHZZUU2KMSFXZ3CIXL3W2T/action/storage_attestation","attest_author":"https://pith.science/pith/AYBJZHZZUU2KMSFXZ3CIXL3W2T/action/author_attestation","sign_citation":"https://pith.science/pith/AYBJZHZZUU2KMSFXZ3CIXL3W2T/action/citation_signature","submit_replication":"https://pith.science/pith/AYBJZHZZUU2KMSFXZ3CIXL3W2T/action/replication_record"}},"created_at":"2026-07-05T03:31:19.661030+00:00","updated_at":"2026-07-05T03:31:19.661030+00:00"}