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Proceedings of the 2023 International Technical Meeting of The Institute of Navigation最新文献

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GNSS Spoofing Detection for High Integrity and Continuity Applications 高完整性和连续性应用的GNSS欺骗检测
Cagatay Tanil
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引用次数: 0
Integrity Monitoring for Urban Air Mobility Using Time-Differenced Carrier Phase 基于时差载波相位的城市空中交通完整性监测
Ho-Cheol Jeong, C. Kee, Jun-Tae Song, Jungbeom Kim
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引用次数: 0
Integrity Monitoring for Real-time Orbit Corrections based on Prior Statistic Parameters 基于先验统计参数的实时轨道校正完整性监测
J. Zhang, Fuxin Yang, Liang Li, Guo-tai Dong, Lin Zhao
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引用次数: 0
In-Situ Calibration of GPS Antenna Array with Ambient Signals 基于环境信号的GPS天线阵列原位标定
Chun Yang, A. Soloviev
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引用次数: 1
Performance Analysis of Lunar Radio Navigation ODTS System 月球无线电导航ODTS系统性能分析
C. Stallo, Carmine Di Lauro, Mattia Carosi, E. Zini, Daniele Musacchio, Laura De Leo, D. Cretoni, Marco Laurenti, Boomkamp Henno
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引用次数: 1
Comparison of a Neural Network and Viterbi Decoder on Forward Error Corrected CNAV Messages 神经网络与Viterbi解码器对前向纠错CNAV报文的比较
Stefan Orosco, Yu‐Hsuan Chen, Todd Walter, Sherman Lo
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引用次数: 0
A Map-Matching Based Positioning Method Using Doppler Tracking and Estimation by a Software-Defined Receiver for Multi-Constellation LEO Satellites 基于地图匹配的多星座LEO卫星多普勒跟踪与估计方法
Hirotaka Kanamori, Kaito Kobayashi, N. Kubo
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引用次数: 5
On the Very Short and Very Long LEO Satellite Orbit Prediction 超短和超长LEO卫星轨道预测研究
Kan Wang, A. el-Mowafy, Hang Su, Xuhai Yang
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引用次数: 1
Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device 贪心与预测无人机轨迹优化方法在目标移动设备定位中的性能评估与混合应用
Halim Lee, Jiwon Seo
This study investigates unmanned aerial vehicle (UAV) trajectory planning strategies for localizing a target mobile device in emergency situations. The global navigation satellite system (GNSS)-based accurate position information of a target mobile device in an emergency may not be always available to first responders. For example, 1) GNSS positioning accuracy may be degraded in harsh signal environments and 2) in countries where emergency positioning service is not mandatory, some mobile devices may not report their locations. Under the cases mentioned above, one way to find the target mobile device is to use UAVs. Dispatched UAVs may search the target directly on the emergency site by measuring the strength of the signal (e.g., LTE wireless communication signal) from the target mobile device. To accurately localize the target mobile device in the shortest time possible, UAVs should fly in the most efficient way possible. The two popular trajectory optimization strategies of UAVs are greedy and predictive approaches. However, the research on localization performances of the two approaches has been evaluated only under favorable settings (i.e., under good UAV geometries and small received signal strength (RSS) errors); more realistic scenarios still remain unexplored. In this study, we compare the localization performance of the greedy and predictive approaches under realistic RSS errors (i.e., up to 6 dB according to the ITU-R channel model).
本研究探讨在紧急情况下,无人机(UAV)定位目标移动装置的轨迹规划策略。在紧急情况下,第一响应者不一定总能获得基于全球导航卫星系统(GNSS)的目标移动设备的准确位置信息。例如,1)在恶劣的信号环境中,全球导航卫星系统的定位精度可能会降低;2)在没有强制要求提供紧急定位服务的国家,一些移动设备可能不会报告其位置。在上述情况下,找到目标移动设备的一种方法是使用无人机。被派遣的无人机可以通过测量来自目标移动设备的信号(例如LTE无线通信信号)的强度,直接在应急站点上搜索目标。为了在尽可能短的时间内准确定位目标移动设备,无人机应该以尽可能高效的方式飞行。目前常用的两种无人机轨迹优化策略是贪心优化和预测优化。然而,这两种方法的定位性能研究仅在有利条件下进行了评估(即良好的无人机几何形状和较小的接收信号强度(RSS)误差);更现实的情况仍有待探索。在本研究中,我们比较了贪婪和预测方法在实际RSS误差(即根据ITU-R信道模型高达6 dB)下的定位性能。
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引用次数: 3
A Multi-GNSS PPP Partial Ambiguity Resolution Method Based on Observations Weight Ranking 基于观测值权重排序的多gnss PPP部分模糊度解决方法
Zhiguo Sun, Lin Zhao, Fuxin Yang, J. Zhang, Ruizhe Zhang
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引用次数: 1
期刊
Proceedings of the 2023 International Technical Meeting of The Institute of Navigation
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