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<p>In the process of construction and operation of electric power facilities, manual inspection is unavoidable, but security incidents happen occasionally. To ensure the safety of workers, ultrawide-band (UWB) positioning technology can be used to locate workers in real time. However, due to the complex environment of electric power facilities, the UWB system does not perform well due to the non-line-of-sight (NLOS) errors. To solve this problem, a UWB positioning algorithm based on Received Signal Strength Indication (RSSI) is proposed to suppress NLOS errors. Determine whether the tag is in an NLOS environment by seeing if the signal strength exceeds the threshold. If the number of remaining nodes is less than 4, the least squares method is used to calculate the position. If the number of remaining nodes is greater than or equal to 4, the NLOS error suppression algorithm based on residual power weighting is used to reduce the positioning error. The high-order weight function is used to assign weights to each LOS node, which makes the weights sensitive to the change of residuals and effectively inhibits errors. Results demonstrate that this algorithm can effectively identify NLOS environments and suppress NLOS error.</p>

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UWB electronic positioning error suppression method based on residual weighting

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月9日

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  • Lin Yang,
  • Bolong Chen,
  • Zhiwei Cao

摘要

In the process of construction and operation of electric power facilities, manual inspection is unavoidable, but security incidents happen occasionally. To ensure the safety of workers, ultrawide-band (UWB) positioning technology can be used to locate workers in real time. However, due to the complex environment of electric power facilities, the UWB system does not perform well due to the non-line-of-sight (NLOS) errors. To solve this problem, a UWB positioning algorithm based on Received Signal Strength Indication (RSSI) is proposed to suppress NLOS errors. Determine whether the tag is in an NLOS environment by seeing if the signal strength exceeds the threshold. If the number of remaining nodes is less than 4, the least squares method is used to calculate the position. If the number of remaining nodes is greater than or equal to 4, the NLOS error suppression algorithm based on residual power weighting is used to reduce the positioning error. The high-order weight function is used to assign weights to each LOS node, which makes the weights sensitive to the change of residuals and effectively inhibits errors. Results demonstrate that this algorithm can effectively identify NLOS environments and suppress NLOS error.