@techreport{oai:ipsj.ixsq.nii.ac.jp:02000270,
 author = {Shiyuan,Zhuang and Han,Lin and Kota,Tsubouchi and Nobuhiko,Nishio and Masamichi,Shimosaka and Shiyuan Zhuang and Han Lin and Kota Tsubouchi and Nobuhiko Nishio and Masamichi Shimosaka},
 issue = {5},
 month = {Feb},
 note = {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., 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.},
 title = {AoA Estimation from Array of Single-board Devices with Single-antennaWi-Fi chip},
 year = {2025}
}