@techreport{oai:ipsj.ixsq.nii.ac.jp:00224229,
 author = {鈴木, 葵 and 上原, 拓大 and 白木, 詩乃 and 塩田, 茂雄 and 平井, 健士 and Aoi, Suzuki and Takuhiro, Uehara and Shino, Shiraki and Shigeo, Shioda and Takeshi, Hirai},
 issue = {3},
 month = {Feb},
 note = {近接情報ベースの位置推定法は，端末間の距離そのものではなく，距離を「近い」と「遠い」の二値に分類 して位置推定を行う点に特徴がある．したがって，その適用にあたっては，二値に分類するための閾値の決め方と，「近い／遠い」を正しく判別するための手段が重要である．本稿では，BLE 信号により「近い／遠い」を判別した際の推定精度を実機実験によって検証した結果について述べる．まず，端末間の距離の大小関係を認識できる手段があれば，「近い」と分類する端末ペア数を調整することで位置推定誤差を 1m 未満に抑えられるため，推定精度は分類の際の閾値に比較的非依存であることを示す．一方，特に障害物が多い環境では BLE 信号は端末間の距離の大小関係を正しく認識できず，それに伴い位置推定誤差が 2～3m 程度に増大することを示す．, The proximity-based location estimation method estimates the locations of terminals by classifying the distance between terminals into two values, “close” and “far”, rather than the distance between terminals itself. Therefore, in applying this method, it is important to have a means for the binary classification of the distance between terminals as well as to determine a threshold value for the binary distance classification. In this paper, we experimentally verify the estimation accuracy of the proximity-based location estimation method when the binary classification is made by BLE signals. First, we show that if the distance between terminals can be accurately classified into “close” or “far” by the BLE signal, the location estimation error is less than 1 m. On the other hand, with the existence of many obstacles, the BLE signal cannot correctly classify the distance between terminals into “close” or “far”, resulting in the location estimation error of about 3 m.},
 title = {BLE信号により認識する端末間の近接情報を用いた屋内位置推定},
 year = {2023}
}