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浏览/检索结果: 共4条，第1-4条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Real-time BDS signal-in-space anomaly detection method considering receiver anomalies 期刊论文 IET RADAR SONAR AND NAVIGATION, 2019, 卷号: 13, 期号: 12, 页码: 2220-2229 作者:  Fan, Lihong;  Tu, Rui;  Zhang, Rui;  Zheng, Zengji;  Liu, Jinhai 收藏  |  浏览/下载：29/0  |  提交时间：2021/11/29 satellite navigation  astronomical ephemerides  telecommunication network reliability  signal detection  signal-in-space user range error  SIS URE  real-time navigation  positioning users  real-time SIS anomalies  location services  BeiDou satellites  user range accuracy index  navigation ephemeris  anomaly detection threshold  real-time observation data  receiver anomalies  BeiDou Navigation Satellite System  MultiGlobal Navigation Satellite System Experiment  precise ephemeris detection results  real-time BDS signal-in-space anomaly detection method  IURE  international GNSS Monitoring &  Assessment System   Anomaly analysis of 18 years of newly merged GPS ephemeris from four IGS data centers 期刊论文 GPS SOLUTIONS, 2018, 卷号: 22, 期号: 4, 页码: 13 作者:  Wang, Haitao;  Jiang, Hu;  Ou, Jikun;  Sun, Baoqi;  Zhong, Shiming 收藏  |  浏览/下载：19/0  |  提交时间：2021/11/29 Remerged navigation data  IGS data centers  GPS system performance assessment  Frequency-dependent pattern recognition  Robust ephemeris elements   Real-Time Monitoring for BDS Signal-In-Space Anomalies Using Ground Observation Data 期刊论文 SENSORS, 2018, 卷号: 18, 期号: 6 作者:  Jiang, Hu;  Wang, Haitao;  Wang, Zemin;  Yuan, Yunbin 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/05 signal-in-space (SIS)  User-Range Error (URE)  BeiDou Navigation Satellite System (BDS)  User Range Accuracy (URA)  SIS anomalies   A User Range Accuracy Estimation Method of the Global Navigation Satellite System 期刊论文 CHINESE JOURNAL OF ELECTRONICS, 2014, 卷号: 23, 页码: 194-198 作者:  Zhao Ruibin;  Li Rui;  Huang Zhigang;  Shao Bo 收藏  |  浏览/下载：9/0  |  提交时间：2020/01/06 Satellite navigation  User range accuracy (URA)  Integrity  Analytic estimation method  Maximum error vector