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作 者:姜楠 李易 李逸静 牛晓燕 JIANG Nan;LI Yi;LI Yijing;NIU Xiaoyan(China Academy of Information and Communication Technology,Security Research Institute,Beijing 100191;Computer Network Information Center(CNIC)of the Chinese Academy of Sciences,Beijing 100083)
机构地区:[1]中国信息通信研究院,安全研究所,北京100191 [2]中国科学院计算机网络信息中心,北京100083
出 处:《数据与计算发展前沿》2024年第3期139-149,共11页Frontiers of Data & Computing
摘 要:【目的】随着通信技术发展与移动设备的普及,MR(测量报告,Measurement Report)数据被广泛应用到无线网络定位中,其中基于MR指纹库匹配的定位方法是精度较高、应用较广泛的方法。然而,位置的计算精度依赖于MR指纹库数据记录的质量,亟需在积累位置指纹库时对数据进行清洗、过滤、位置纠偏等工作,以保证指纹库的数据质量。【方法】因此,本文提出了一种面向MR数据定位场景的脏指纹剔除算法,通过DBSCAN聚类算法识别异常指纹,并纠偏基站位置,建立高质量的指纹数据库,以提升MR数据定位精准性。【结果】本文在农村、市区、郊区3个场景下,分别使用模拟数据进行仿真试验,对本文方法进行分析与评估。【结论】试验结果显示,随着异常指纹剔除及指纹数据库更新,MR数据定位精准度得到有效提升,且所提算法在指纹聚类场景下相比其他算法均存在优势。[Objective]With the development of communication technology and the widespread use of mobile devices,Measurement Report(MR)data has been widely applied in wireless network positioning,and the MR fingerprint matching method based on fingerprint database is a widely used and relatively accurate method.However,the computational accuracy of the position depends on the quality of the data records in the MR fingerprint database.There is an urgent need to clean,filter,and position correct the data when accumulating the positional fingerprint database in order to ensure the data quality of the fingerprint database.[Methods]Therefore,this paper proposes a dirty fingerprint rejection algorithm for MR data localization scenarios,which identifies anomalous fingerprints through the DBSCAN clustering algorithm,corrects the location of the base station,and establishes a high-quality fingerprint database in order to improve the accuracy of MR data localization.[Results]In this paper,simulation data are used to conduct simulation experiments in three scenarios:rural,urban,and suburban,and the proposed method is analyzed and evaluated.[Conclusion]The experimental results show that with the removal of abnormal fingerprints and update of the fingerprint database,the accuracy of MR data localization has been effectively improved,and the proposed algorithm has advantages over other algorithms in terms of fingerprint recognition.
分 类 号:TN92[电子电信—通信与信息系统]
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