基于RSSI的RFID室内定位算法优化研究

OPTIMIZATION OF RFID INDOOR POSITIONING ALGORITHM BASED ON RSSI

  • 摘要: 对RFID室内定位算法LANDMARC存在的问题做了一些优化,针对该算法中存在的局部参考标签关联度异常的情况,对局部不良标签进行关联度修复;针对选取邻近标签过程中易出现的标签误选问题,提出最小目标区域块的改进思路,减少不良标签的影响,再对目标标签位置进行估计。仿真实验结果表明,所提优化方案效果相较于原定位算法具有明显的改善,定位精度提高了22%,其中最大误差减小了27%。

     

    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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