中国邮电高校学报(英文) ›› 2013, Vol. 20 ›› Issue (6): 36-41.doi: 10.1016/S1005-8885(13)60106-5

• Wireless • 上一篇    下一篇

Improvement of location methods based on RFID

吴凌,黄丽亚   

  1. Institute of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • 收稿日期:2013-05-15 修回日期:2013-10-15 出版日期:2013-12-31 发布日期:2013-12-27
  • 通讯作者: 吴凌 E-mail:wlwuling@gmail.com
  • 基金资助:

    This work was supported by the National Natural Science Foundation of China (61003237).

Improvement of location methods based on RFID

Ling WU1,Li-Ya HUANG   

  1. Institute of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Received:2013-05-15 Revised:2013-10-15 Online:2013-12-31 Published:2013-12-27
  • Contact: Ling WU E-mail:wlwuling@gmail.com
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (61003237).

摘要:

The most common location algorithms based on received signal strength (RSS) are location identification based on dynamic active radio frequency identification (LANDMARC) and virtual reference elimination (VIRE). However, both the original algorithms suffer from some drawbacks. In this paper, several aspects of the two original algorithms have been modified to reduce the positioning errors. Firstly, Lagrange interpolation has been used instead of linear interpolation. Secondly, adaptive threshold has been introduced in the new algorithm. Thirdly, insert virtual reference tags to improve the location accuracy of the boundary of the sensing area. Finally, combine LANDMARC with VIRE to absorb both advantages. Compared with the original algorithms, on average, simulated results show that the modified algorithms can improve the location performance efficiently and achieve the goal of accurate positioning in indoor environment.

关键词:

LANDMARC, VIRE, received signal strength indicator (RSSI), Lagrange, adaptive threshold

Abstract:

The most common location algorithms based on received signal strength (RSS) are location identification based on dynamic active radio frequency identification (LANDMARC) and virtual reference elimination (VIRE). However, both the original algorithms suffer from some drawbacks. In this paper, several aspects of the two original algorithms have been modified to reduce the positioning errors. Firstly, Lagrange interpolation has been used instead of linear interpolation. Secondly, adaptive threshold has been introduced in the new algorithm. Thirdly, insert virtual reference tags to improve the location accuracy of the boundary of the sensing area. Finally, combine LANDMARC with VIRE to absorb both advantages. Compared with the original algorithms, on average, simulated results show that the modified algorithms can improve the location performance efficiently and achieve the goal of accurate positioning in indoor environment.

Key words:

LANDMARC, VIRE, received signal strength indicator (RSSI), Lagrange, adaptive threshold