The Effect of Random Characteristics of Ionosphere on the Propagation of ELoran Sky Waves

Zhao, Zhen‐Zhu; Liu, Jiangfan; Zhang, Jinsheng; Pu, Yurong; Xi, Xiaoli

doi:10.1109/tps.2023.3283281

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Currently, there are three main methods, the waveguide method, wave-hop method, and Finite Difference Time Domain (FDTD) method, developed to predict the propagation of LF waves [2][3][4][5][6][7][8]. The prediction of Loran-C sky-wave time delays and the analysis of the impact of the propagation channel parameters are mainly based on these three methods [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Measurement and Analysis of Loran-C Sky Waves throughout the Day

Zhao,

Liu,

Zhao

et al. 2024

Electronics

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In this study, Loran-C signals were collected throughout the day, and the characteristics of the received signals at different propagation distances were analyzed. Because the signal amplitude is small and difficult to recognize at a long distance and there is mutual interference between stations, a linear average method is used to process the received signal. At locations closer to the receiver, clear observations of the time delay and amplitude variation in the one-hop sky wave can be made by using the ground wave as a reference, which can be applied to studying the characteristics and parameter inversion of the lower ionosphere. When the distance is further, the significant enhancement of the sky-wave signal during the night may lead to decreased accuracy in timing and positioning. When the distance is much larger than the propagation range of the ground wave, only the sky-wave signal can be received, and the signal is more stable than when the distance is closer. During the night, multiple amplitude-comparable multi-path signals may appear in the sky wave, making the identification of the one-hop sky wave more difficult.

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Section: Introductionmentioning

confidence: 99%

Measurement and Analysis of Loran-C Sky Waves throughout the Day

Zhao,

Liu,

Zhao

et al. 2024

Electronics

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“…The Global Navigation Satellite System is a crucial infrastructure that users worldwide rely on for Positioning, Navigation and Timing (PNT) [1][2][3][4]. However, the system is vulnerable to threat and interference, with numerous cases of human interference have been reported [5,6].…”

Section: Introductionmentioning

confidence: 99%

Pseudorange reconstruction for high‐dynamic eLoran signal simulators using B‐spline interpolation

Ma,

Zhao,

et al. 2024

IET Radar Sonar & Navi

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The High‐Dynamic enhanced Loran (eLoran) signal simulator must accurately model the motion parameters and dynamic transmission delays of the carriers in the channel. A method was proposed based on B‐Spline interpolation, capable of arbitrary ratio interpolation and multi‐channel simulation. This method can regenerate carrier‐to‐transmitter distances from available discrete motion asynchronous data, it can effectively reproduce more motion details for carrier. The algorithm can be implemented using digital circuits, allowing for real‐time simulation on a hardware platform. The circuit structure is divided into integer and fractional calculations, which can satisfy the interpolation of asynchronous data with arbitrary ratios. Compared with existing methods, the approach simulates the motion parameters with satisfactory accuracy.

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Long-wave-propagation delay correlation testing and pattern analysis

Di,

Fu,

et al. 2024

Preprint

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The complexity of long-wave propagation paths and real-time variations in meteorological conditions can make it challenging to accurately predict the propagation delays of long waves, thereby affecting the precision of long-wave navigation and positioning timing. This study used static tests to measure long-wave receiver path delays at varying propagation distances. Moreover, data were collected from neighbouring test points to analyse propagation delay characteristics and assess the feasibility of implementing differential timing methods. The measured data indicated that neighbouring test points exhibited similar trends during the same period, with different test points showing significant correlations at the 0.001 level. A comprehensive analysis revealed that within a certain range, factors such as meteorological conditions, electrical parameters of the propagation medium, and terrain fluctuations were comparable. Long-wave propagation delays exhibited certain temporal and spatial correlations, and real-time changes in the propagation path could be mitigated using differential methods, thereby enhancing the precision of long-wave navigation and positioning timing. A theoretical focus on solidifying the differential effects in key areas could support the establishment of more accurate differential stations, thereby enhancing the eLoran system with warning capabilities and enhancing system integrity.

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The Effect of Random Characteristics of Ionosphere on the Propagation of ELoran Sky Waves

Cited by 3 publications

References 17 publications

Measurement and Analysis of Loran-C Sky Waves throughout the Day

Measurement and Analysis of Loran-C Sky Waves throughout the Day

Pseudorange reconstruction for high‐dynamic eLoran signal simulators using B‐spline interpolation

Long-wave-propagation delay correlation testing and pattern analysis

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