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基于方向约束和双扇形圆环相交的Soul用户定位OA

A Soul User Geolocation Method Based on Direction Constraint and Double Fan-Shaped Ring Intersection

中文摘要英文摘要

现有社交平台定位方法多依赖距离映射,需大量查询以识别关键阈值.然而,随着平台强化位置混淆,基于距离的方法难以刻画其扰动规律,精度显著下降.为此,提出一种基于方向约束与双观测点扇形圆环相交的Soul用户定位方法.通过设计一种全向多距虚拟探针部署策略,依据平台距离显示粒度,自适应设置多级径向采样半径,高效获取无冗余的映射数据;在此基础上,将方位角纳入位置建模,构建距离与方位角的位置带宽模型,并基于两个不同观测点分别生成对应的扇形圆环区域;最终,以二者几何交集的质心作为目标用户的最终定位结果.在Soul平台上的实验表明,该方法的最小、平均和最大定位误差分别为9.01、29.87和57.66 m,相较现有3种典型方法,该方法的上述3项误差最大降幅分别可达71.78%、57.12%和43.16%.

Current localization methods on social platforms predominantly rely on distance mapping,which necessitates extensive queries to identify critical thresholds.However,as platforms continually strengthen their location obfuscation mechanisms,distance-based approaches struggle to accurately characterize the perturbation patterns,resulting in a significant drop in localization accuracy.A Soul user geolocation method based on direction constraint and double fan-shaped ring intersection is pro‑posed.First,an omni-directional and multi-range virtual probe deployment strategy is designed,which adaptively sets multi-level radial sampling radii according to the display granularity of platform dis‑tance,thereby efficiently acquiring non-redundant mapping data.On this basis,the azimuth is incorpo‑rated into location modeling to construct a location bandwidth model considering both distance and azi‑muth.Fan-shaped annular regions are generated from two distinct observation points,and the geomet‑ric centroid of their intersection is used as the final user location estimate.Experiments on Soul show the minimum,average and maximum localization errors of 9.01,29.87 and 57.66 m,respectively.Com‑pared with 3 typical methods,the maximum reductions of the 3 aforementioned errors using the pro‑posed method can reach 71.78%,57.12%and 43.16%,respectively.

刘瑞婷;时文旗

信息工程大学,河南 郑州 450001信息工程大学,河南 郑州 450001

信息技术与安全科学

基于位置的社交平台用户定位位置映射模型方位角

location-based social platformuser geolocationlocation mapping modelazimuth

《信息工程大学学报》 2026 (2)

223-230,8

10.3969/j.issn.1671-0673.2026.02.013

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