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Liu Longbo, Qiao Jiping, Liu Ruping, Wang Zhiqiang. OPTIMIZATION OF RFID INDOOR POSITIONING ALGORITHM BASED ON RSSI[J]. Computer Applications and Software, 2025, 42(2): 152-156. DOI: 10.3969/j.issn.1000-386x.2025.02.021
Citation: Liu Longbo, Qiao Jiping, Liu Ruping, Wang Zhiqiang. OPTIMIZATION OF RFID INDOOR POSITIONING ALGORITHM BASED ON RSSI[J]. Computer Applications and Software, 2025, 42(2): 152-156. DOI: 10.3969/j.issn.1000-386x.2025.02.021
shu

OPTIMIZATION OF RFID INDOOR POSITIONING ALGORITHM BASED ON RSSI

  • 1.College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China;

  • 2.Shanxi Coal Mine Machinery Manufacturing Co.[KG-*3], Ltd.[KG-*3], Taiyuan 030006, Shanxi, China

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  • Received Date: August 12, 2021
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    • Abstract
  • The problems of RFID indoor positioning algorithm LANDMARC are optimized. In view of the abnormal correlation degree of local reference tags inLANDMARC, this paper repairs the correlation degree of local bad tags. Aimed at the problem of label mis-selection in the process of selecting adjacent labels, an improvement of minimum target area block was proposed to reduce the influence of bad labels, and the location of target labels was estimated. Simulation results show that the proposed optimization scheme is significantly improved compared with the original algorithm, the positioning accuracy is increased by 22%, and the maximum error is reduced by 27%.
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