发表机构
New York University（纽约大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出利用多径分量角度协方差加权融合的无地图单锚点定位方法，基于16.95 GHz室内测量，实现平均误差3.86米，优于现有基线。
AI 中文摘要
未来的5G-Advanced和6G系统将利用定向宽带信道进行基于路径的定位，然而，由于提取的多径分量（MPCs）在定位可靠性上差异很大，无地图室内定位仍然具有挑战性。本文提出了一种基于不确定性感知的无地图单锚点定位框架，该框架使用在纽约布鲁克林NYU WIRELESS采集的16.95 GHz室内定向信道测量数据。通过相邻模式去除功率延迟谱（PDP）观测值的局部一致性来估计每个MPC的角度协方差，并将其通过点型和线型约束的加权融合传播到几何定位中。对20条链路（收发距离从11米到97米）的测量结果表明，所提出的协方差加权方法在使用五个保留MPC时，实现了平均定位误差3.86米，中位误差2.66米，且70%的链路误差在5米以内。在相同的点/线约束下，该方法优于功率加权和未加权变体，也优于文献中的基线方法。这些结果表明，局部方向一致性提供了超出仅接收功率的可靠性信息，并为未来室内定向系统展示了一种实用的无地图方法。
英文摘要
Future 5G-Advanced and 6G systems will exploit directional wideband channels for path-based localization, yet map-free indoor positioning remains challenging because extracted multipath components (MPCs) vary widely in localization reliability. This paper presents an uncertainty-aware map-free single-anchor localization framework using 16.95~GHz indoor directional channel measurements collected at NYU WIRELESS in Brooklyn, New York. Per-MPC angular covariance is estimated from the local consistency of neighboring pattern-de-embedded power delay profile (PDP) observations and propagated into geometric localization through weighted fusion of point-type and line-type constraints. Measurements across 20 links with TX--RX separations from 11~m to 97~m show that the proposed covariance-weighted method achieves a mean localization error of 3.86~m, a median of 2.66~m, and 70\% of links within 5~m using five retained MPCs. It outperforms the power-weighted and unweighted variants under identical point/line constraints, as well as the literature baselines. These results indicate that local directional consistency provides reliability information beyond received power alone and demonstrate a practical map-free approach for future indoor directional systems.
Comments6 pages, 5 figures. Accepted for presentation at the 2026 IEEE Global Communications Conference (GLOBECOM), Macao, China, December 2026
