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  • 标题:3D Trilateration Localization using RSSI in Indoor Environment
  • 本地全文:下载
  • 作者:Nur Diana Rohmat Rose ; Low Tan Jung ; Muneer Ahmad
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2020
  • 卷号:11
  • 期号:2
  • DOI:10.14569/IJACSA.2020.0110250
  • 出版社:Science and Information Society (SAI)
  • 摘要:Received Signal Strength Indicator (RSSI) is one of the most popular technique for outdoor and indoor localization. There are many previous researches on RSSI-based indoor localization systems. However, most of them lack a solid classification method that reduce localization errors with better accuracy. This paper will focus on indoor localization methods to provide a technological perspective of indoor positioning systems. This paper proposes an indoor localization by using 3D trilateration method to locate target tags from RFID readers that used RSSI measurements for range determination. There will be six test cases for each reader. This system can track any target within the selected area with less localization error.
  • 关键词:RSSI; RFID; Indoor Positioning System (IPS); trilateration; 3D localization
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