{"paper":{"title":"Enhanced Direction-Sensing Methods and Performance Analysis in Low-Altitude Wireless Network via a Rotating Antenna Array","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"A pre-rotation step followed by greedy spectrum search lets a rotatable antenna array reach the CRLB in direction sensing while cutting mechanical rotations and matrix operations.","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Feng Shu, Jiangzhou Wang, Jiatong Bai, Jinbing Jiang, Maolin Li, Minghao Chen, Wan Choi, Yan Wang","submitted_at":"2026-03-21T12:22:40Z","abstract_excerpt":"Due to the directive property of each antenna element, the received signal power can be severely attenuated when the emitter deviates from the array boresight, which will lead to a severe degradation in sensing performance along the corresponding direction. Although existing rotatable array sensing methods such as recursive rotation (RR-Root-MUSIC) can mitigate this issue by iteratively rotating and sensing, several mechanical rotations and repeated eigendecomposition operations are required to yield a high computational complexity and low time-efficiency. To address this problem, a pre-rotati"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Simulation results demonstrate that the proposed PRI-IGSS method performs much better than RR-Root-MUSIC and achieves the CRLB in term of mean squared error due to the fact there is no sample accumulation for the latter.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The CRLB derivation relies on a simplified rotation model whose validity for real mechanical rotation dynamics and array imperfections is not detailed in the abstract; if this model deviates significantly from physical behavior, the claimed achievement of the CRLB may not hold.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"PRI-IGSS combines pre-rotation initialization via receive power with iterative greedy search on rotatable arrays to achieve lower complexity and MSE closer to the CRLB than RR-Root-MUSIC in low-altitude emitter sensing.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A pre-rotation step followed by greedy spectrum search lets a rotatable antenna array reach the CRLB in direction sensing while cutting mechanical rotations and matrix operations.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"d24f760c01ad9b2d17722e21d7ed1d448c8612ce48ddd3841b5d8844d5348a72"},"source":{"id":"2603.20784","kind":"arxiv","version":4},"verdict":{"id":"1b85d642-7f41-4def-9cda-5ddaeef67038","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-15T07:19:04.829422Z","strongest_claim":"Simulation results demonstrate that the proposed PRI-IGSS method performs much better than RR-Root-MUSIC and achieves the CRLB in term of mean squared error due to the fact there is no sample accumulation for the latter.","one_line_summary":"PRI-IGSS combines pre-rotation initialization via receive power with iterative greedy search on rotatable arrays to achieve lower complexity and MSE closer to the CRLB than RR-Root-MUSIC in low-altitude emitter sensing.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The CRLB derivation relies on a simplified rotation model whose validity for real mechanical rotation dynamics and array imperfections is not detailed in the abstract; if this model deviates significantly from physical behavior, the claimed achievement of the CRLB may not hold.","pith_extraction_headline":"A pre-rotation step followed by greedy spectrum search lets a rotatable antenna array reach the CRLB in direction sensing while cutting mechanical rotations and matrix operations."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2603.20784/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":2,"snapshot_sha256":"139f9c6068c46621c0a6501d0173e8d7f4547d970de92b95a688eb9d531580a1"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}