AoA Estimation from Array of Single-board Devices with Single-antennaWi-Fi chip

• Item type: SIG Technical Reports(1)
• 公開日: 2025-02-20
• タイトル / 言語: ja
• タイトル: AoA Estimation from Array of Single-board Devices with Single-antennaWi-Fi chip
• タイトル / 言語: en
• タイトル: A Real-Time Object Tracking and Visualization System based on UHF RFID Tags and DepthAI Camera
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 位置及び行動推定技術(MBL/UBI)
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Department of Computer Science, School of Engineering, Institite of Science Tokyo
• 著者所属: Department of Computer Science, School of Engineering, Institite of Science Tokyo
• 著者所属: LY Corporation
• 著者所属: Ritsumeikan University
• 著者所属: Department of Computer Science, School of Engineering, Institite of Science Tokyo
• 著者所属(英): en
• 著者所属(英): Department of Computer Science, School of Engineering, Institite of Science Tokyo
• 著者所属(英): en
• 著者所属(英): Department of Computer Science, School of Engineering, Institite of Science Tokyo
• 著者所属(英): en
• 著者所属(英): LY Corporation
• 著者所属(英): en
• 著者所属(英): Ritsumeikan University
• 著者所属(英): en
• 著者所属(英): Department of Computer Science, School of Engineering, Institite of Science Tokyo
• 著者名: Shiyuan,Zhuang; Han,Lin; Kota,Tsubouchi; Nobuhiko,Nishio; Masamichi,Shimosaka
• 著者名(英): Shiyuan Zhuang; Han Lin; Kota Tsubouchi; Nobuhiko Nishio; Masamichi Shimosaka
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.
• 論文抄録(英) / 言語: en
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11838947
• 書誌情報: 研究報告ユビキタスコンピューティングシステム（UBI）; 巻 2025-UBI-85, 号 5, p. 1-7, 発行日 2025-02-20
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8698
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会