发表机构
McGill University（麦吉尔大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
提出3D-PT无锚点无测距定位方法，利用多级发射功率的二元可达性生成序数距离关系，在模拟仓库中相比现有方法显著降低定位误差。
AI 中文摘要
三维（3D）定位在工业设施中较为困难，因为固定节点的部署受到硬件、功耗、网络、安装和维护成本的限制。本文提出了一种三维延展技术（3D-PT），这是一种无锚点、无测距的方法，它将有序发射功率级别下的互惠数据包检测转换为可靠性加权的序数距离关系。该方法无需接收信号强度指示（RSSI）幅度、估计距离、勘测锚点或先验坐标，即可估计相对三维配置。在模拟的多高度仓库中，四个发射功率级别在小规模和中规模网络场景下，相对于MDS-MAP(P)将平均网络直径归一化RMSE降低了16.0%，相对于CATL复现分别降低了23.9%和34.0%。精度在超过四个功率级别后基本饱和。结果表明，多级二元可达性提供了超越单一最大功率连通图的有用几何信息。
英文摘要
Three-dimensional (3D) localization is difficult in industrial facilities because fixed-node placement is constrained by hardware, power, networking, installation, and maintenance costs. This paper presents the 3D Protraction Technique (3D-PT), an anchor-free, range-free method that converts reciprocal packet detections at ordered transmit-power levels into reliability-weighted ordinal distance relations. It estimates a relative 3D configuration without Received Signal Strength Indicator (RSSI) magnitudes, estimated ranges, surveyed anchors, or prior coordinates. In a simulated multi-height warehouse, four transmit-power levels reduce mean network-diameter-normalized RMSE by 16.0\% relative to MDS-MAP(P) in both small- and medium-network regimes, and by 23.9\% and 34.0\% relative to CATL-reproduction, respectively. Accuracy largely saturates beyond four power levels. The results show that multi-level binary reachability provides useful geometric information beyond a single maximum-power connectivity graph.
