{"created":"2025-02-16T06:53:03.608964+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02000270","sets":["1164:4061:11910:1739597426405"]},"path":["1739597426405"],"owner":"80578","recid":"2000270","title":["AoA Estimation from Array of Single-board Devices with Single-antennaWi-Fi chip"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-02-20"},"_buckets":{"deposit":"2cfa0314-805f-48d1-aeda-7e640ac9e84d"},"_deposit":{"id":"2000270","pid":{"type":"depid","value":"2000270","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"AoA Estimation from Array of Single-board Devices with Single-antennaWi-Fi chip","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"AoA Estimation from Array of Single-board Devices with Single-antennaWi-Fi chip","subitem_title_language":"ja"},{"subitem_title":"A Real-Time Object Tracking and Visualization System based on UHF RFID Tags and DepthAI Camera","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"位置及び行動推定技術(MBL/UBI)","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2025-02-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Computer Science, School of Engineering, Institite of Science Tokyo"},{"subitem_text_value":"Department of Computer Science, School of Engineering, Institite of Science Tokyo"},{"subitem_text_value":"LY Corporation"},{"subitem_text_value":"Ritsumeikan University"},{"subitem_text_value":"Department of Computer Science, School of Engineering, Institite of Science Tokyo"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Computer Science, School of Engineering, Institite of Science Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, School of Engineering, Institite of Science Tokyo","subitem_text_language":"en"},{"subitem_text_value":"LY Corporation","subitem_text_language":"en"},{"subitem_text_value":"Ritsumeikan University","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, School of Engineering, Institite of Science Tokyo","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"control_number":"2000270","item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing 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Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shiyuan,Zhuang"}]},{"creatorNames":[{"creatorName":"Han,Lin"}]},{"creatorNames":[{"creatorName":"Kota,Tsubouchi"}]},{"creatorNames":[{"creatorName":"Nobuhiko,Nishio"}]},{"creatorNames":[{"creatorName":"Masamichi,Shimosaka"}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shiyuan Zhuang","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Han Lin","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Kota Tsubouchi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Nobuhiko Nishio","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Masamichi Shimosaka","creatorNameLang":"en"}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11838947","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8698","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Angle of Arrival (AoA) estimation has received considerable attention as a key solution in indoor positioning systems, particularly using Channel State Information (CSI) derived from Wi-Fi packets. Traditional approaches often leverage multi-antenna MIMO devices to perform MIMO-based time-of-arrival analyses across different antennas. However, these devices have been discontinued and are increasingly difficult to acquire, while single-board CSI scanners pose challenges for accurate AoA prediction. In this work, we propose a novel deployment strategy that arranges multiple single-board, single-antenna devices in an array to capture CSI from the same packet. We combine these measurements via matching MAC addresses and sequence numbers, then apply a learning-based AoA estimation model to obtain angle estimates. Our approach offers a more flexible and easily deployable solution with readily available hardware, serving as an effective sensor platform for downstream applications using AoA.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Angle of Arrival (AoA) estimation has received considerable attention as a key solution in indoor positioning systems, particularly using Channel State Information (CSI) derived from Wi-Fi packets. Traditional approaches often leverage multi-antenna MIMO devices to perform MIMO-based time-of-arrival analyses across different antennas. However, these devices have been discontinued and are increasingly difficult to acquire, while single-board CSI scanners pose challenges for accurate AoA prediction. In this work, we propose a novel deployment strategy that arranges multiple single-board, single-antenna devices in an array to capture CSI from the same packet. We combine these measurements via matching MAC addresses and sequence numbers, then apply a learning-based AoA estimation model to obtain angle estimates. Our approach offers a more flexible and easily deployable solution with readily available hardware, serving as an effective sensor platform for downstream applications using AoA.","subitem_description_type":"Other","subitem_description_language":"en"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告ユビキタスコンピューティングシステム（UBI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-02-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2025-UBI-85"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"id":2000270,"updated":"2025-02-28T02:26:10.083002+00:00","links":{}}