Results 41 to 50 of about 121 (91)

Extreme Space Weather Impacts on GNSS Timing Signals for Electricity Grid Management

Space Weather, Volume 22, Issue 10, October 2024.
Abstract Extreme space weather events can have serious impacts on critical infrastructure, including Global Navigation Satellite Systems (GNSS). The use of GNSS, particularly as sources of accurate timing signals, is becoming more widespread, with one example being the measurement of electricity grid frequency and phase information to aid grid ...
T. Etchells, K. L. Aplin, L. Berthoud, A. Kalavana, A. Larkins   +4 more
wiley   +1 more source

Phase Spectrum Smoothing Demodulation: A New Frontier in eLoran Signal Processing for Enhanced Performance

Remote Sensing
In the field of modern navigation and positioning, the ground-based eLoran system, serves as a vital backup to the global navigation satellite system (GNSS), which is crucial for numerous key applications.
Shiyao Liu, Baorong Yan, Yu Hua, Wudian Kou, Shougang Zhang, Lu Xu, Jun Lu   +6 more
doaj   +1 more source

Alternative eLoran Pulses for Early Skywave Mitigation

IEEE Access
Multipath and skywaves are sources of range errors in enhanced long-range navigation (eLoran), and an early skywave can particularly pose a threat to user safety by inducing range errors of over one kilometer.
Euiho Kim, Junyoung Lee, Pyo-Woong Son
doaj   +1 more source

Research on Modeling Method of eLoran Signal Propagation Delay Prediction Model: Integrating Path-Weighted Meteorological Data and Propagation Delay Data in Long-Distance Scenarios

Big Data and Cognitive Computing
The enhanced long-range navigation (eLoran) system serves as an important backup method for the global navigation satellite system (GNSS) system. In long-distance transmission scenarios, the signal propagation delay of the eLoran system is affected by ...
Tao Jin, Shiyao Liu, Baorong Yan, Xiang Jiang, Wei Guo, Yu Hua, Shougang Zhang, Lu Xu   +7 more
doaj   +1 more source

A Meteorological Data-Driven eLoran Signal Propagation Delay Prediction Model: BP Neural Network Modeling for Long-Distance Scenarios

Remote Sensing
The timing accuracy of eLoran systems is susceptible to meteorological fluctuations, with medium-to-long-range propagation delay variations reaching hundreds of nanoseconds to microseconds.
Tao Jin, Shiyao Liu, Baorong Yan, Wei Guo, Changjiang Huang, Yu Hua, Shougang Zhang, Xiaohui Li, Lu Xu   +8 more
doaj   +1 more source

Skywave Detection and Mitigation for the MF R-Mode Continuously Operating Reference Station. [PDF]

Sensors (Basel), 2023
Son PW, Park J, Yu J, Jeong S, Han Y, Fang TH.   +5 more
europepmc   +1 more source

A study on the optimal geometrical placement of eLoran stations in Korea

Journal of Navigation and Port Research, 2013
In the eLoran navigation system, the dominant deterioration factors of navigation accuracy are the TOA measurement errors on user receiver and the GDOP between the receiver and the transmitters. But if the ASF data measured at dLoran reference station are provided for users through the Loran data channel, it will be possible to correct the TOA ...
Chang-Bok Lee, Mi-Young Shin, Sang-Wook Hwang, Sang-Jeong Lee, Sung-Hoon Yang   +4 more
openaire   +2 more sources

Multi-Source Common-View Disciplined Clock: A Fail-Safe Clock for Critical Infrastructure Systems. [PDF]

J Res Natl Inst Stand Technol, 2021
Lombardi MA.
europepmc   +1 more source

Preliminary Evaluation and Analysis of Differential Technology Performance of eLoran Timing System

Electronics
As a major and strategic national scientific and technological infrastructure element, a high-precision ground-based timing system is an important guarantee to meet the demand for high-precision time and frequency in various important fields. To this end, the differential technology of the eLoran timing system can improve the timing accuracy from a ...
Kexin Yin, Jianfeng Wu, Runze Ning, Yongqi Chen, Qian Liu, Kang Wang   +5 more
openaire   +1 more source

The Concept of Using the Decision-Robustness Function in Integrated Navigation Systems. [PDF]

Sensors (Basel), 2022
Czaplewski K, Czaplewski B.
europepmc   +1 more source