INDOOR LOCATION ESTIMATION BASED ON TOA DATA AND BIAS ESTIMATION USING GAMMA REGRESSION

• Yoshida Atsushi

  Graduate School of Science and Engineering, Chuo University

• Sakumura Takenori

  Faculty of Science and Engineering, Chuo University

• Kamakura Toshinari

  Faculty of Science and Engineering, Chuo University

抄録

We aim at improving the accuracy of indoor position estimation through a statistical approach. In this study, we propose a position estimation method based on Time-of-Arrival (ToA). ToA data are often useful. However, ToA data include a positive bias due to the reflection of radio waves. Therefore, it is difficult to estimate the TAG position from ToA data directly without an accurate bias correction. In this paper, we propose a maximum likelihood estimation method for the TAG position using gamma regression and a rotated distribution, and we show that the estimation with bias correction is more accurate than the estimation without bias correction. In addition,we show that our method also provides a confidence region for the TAG position.

収録刊行物

• Ｊｏｕｒｎａｌ　ｏｆ　ｔｈｅ　Ｊａｐａｎｅｓｅ　Ｓｏｃｉｅｔｙ　ｏｆ　Ｃｏｍｐｕｔａｔｉｏｎａｌ　Ｓｔａｔｉｓｔｉｃｓ

  Ｊｏｕｒｎａｌ　ｏｆ　ｔｈｅ　Ｊａｐａｎｅｓｅ　Ｓｏｃｉｅｔｙ　ｏｆ　Ｃｏｍｐｕｔａｔｉｏｎａｌ　Ｓｔａｔｉｓｔｉｃｓ 30 (2), 13-21, 2018-04-20

  日本計算機統計学会

キーワード

• ToA
• Time-of-Arrival
• NLos
• Non Line-of-Sight
• Location Estimation
• Confidence Region

詳細情報

• CRID: 1390845712970536320
• NII論文ID: 130007386269
• NII書誌ID: AA10823693
• DOI: 10.5183/jjscs.1605001_231
• ISSN: 18811337
• ISSN: 09152350
• NDL書誌ID: 030633044
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I030633044
• Web Site: https://www.jstage.jst.go.jp/article/jjscs/30/2/30_1605001_231/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可