Leveled indoor localization algorithms based on passive RFID

نویسندگان

  • Matthew Chan
  • Xiaowen Zhang
چکیده

We propose three indoor localization algorithms, namely the leveled nearest-neighbor, leveled multilateration and leveled Bayesian inference, to locate stationary objects (books, merchandise) by affixing passive RFID tags to them. The algorithms use a number of passive tags deployed on the known coordinates as reference points. The simulation results show that the proposed leveled detectable count RFID localization algorithms produce superb accuracy performance.

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تاریخ انتشار 2012