Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (3): 446-453.doi: 10.23940/ijpe.20.03.p14.446453

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Improvement of LANDMARC Indoor Positioning Algorithm

Ruizhen Duana,*, Zhen Lib, and Yanhao Yina   

  1. aRongchen College, Harbin University of Science and Technology, Rongcheng, 264300, China;
    bHuazhong University of Science and Technology, Wuhan, 430074, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: Ruizhen Duan E-mail:wangzhongwen1979@qq.com

Abstract: In view of the problem that the accuracy of the LANDMARC indoor positioning algorithm based on radio frequency identification (RFID) is subject to the influence of adjacent reference tags, this paper proposes an improved LANDMARC positioning algorithm. According to the distance between the nearest reference tag and the reader, as well as the received signal strength indicator (RSSI), the improved algorithm uses Newton interpolation to obtain the distance between the tag to be measured and the reader and calculates the coordinates of the tag to be measured using the theorem on trilateral generating functions. The results of MATLAB simulation show that the improved LANDMARC positioning algorithm lowers the positioning error of the system, has higher positioning accuracy, and minimizes the complexity of the algorithm.

Key words: RFID, LANDMARC algorithm, reference tag, Newton interpolation