摘要
针对全球卫星导航系统(GNSS)信号无法覆盖或受到严重干扰的情况下,采用机会信号SOP定位多基于几何测距原理,易受非视距(NLOS)和多径效应影响,城市环境下定位精度有限等问题,提出一种数字电视广播信号多径指纹匹配定位方法:基于指纹匹配原理,机会信号(SOP)定位有着不依赖于视距(LOS)环境的特点,充分利用NLOS和多径效应提高定位精度,并结合数字电视(DTV)信号具有信号源稳定、发射功率高、覆盖范围广等优点,提出基于中国数字地面多媒体广播(DTMB)信号的多径指纹特征定位方法;然后介绍DTMB信号采集、多径特征提取、指纹稳定化处理、指纹数据库建立和在线定位算法等流程。实验结果表明,利用提出的多径指纹特征结合加权K近邻(WKNN)定位算法可实现接近10 m的平均定位精度,远优于传统基于测距或能量强度指纹的DTV信号定位方法。
Aiming at the problems of the situation where global satellite navigation system(GNSS)signals cannot be covered or are severely interfered with,the use of signals of opportunity(SOP)positioning is mostly based on geometric ranging principles,which are easily affected by non-line of sight(NLOS)and multipath effects,and have limited positioning accuracy in urban environments,the paper proposed a multipath fingerprint matching localization method of digital television broadcast signals:based on the fingerprint matching principle,considering the character that SOP positioning does not rely on line of sight(LOS)environment,NLOS and multipath effects were fully utilized to improve positioning accuracy,and combined with the advantages of stable signal source,high transmission power and wide coverage range of digital television(DTV)signals,a multipath fingerprint feature positioning method was given based on Chinese digital terrestrial multimedia broadcasting(DTMB)signals;then the processes of DTMB signal acquisition,multipath feature extraction,fingerprint stabilization processing,fingerprint database,etc.were introduced.Experimental results showed that the proposed multipath fingerprint feature combined with weighted K-nearest neighbor(WKNN)positioning algorithm could achieve an average positioning accuracy of nearly 10 meters,which would be far superior to traditional DTV signal positioning methods based on distance measurement or energy intensity fingerprints.
作者
黄奕博
陈新
李家辉
HUANG Yibo;CHEN Xin;LI Jiahui(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;School of Information Science and Engineering,Southeast University,Nanjing 211189,China)
出处
《导航定位学报》
北大核心
2025年第4期146-155,共10页
Journal of Navigation and Positioning
