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Article

Delay Correction Method Based on VLF Timing Signal Phase Variation Model

1
National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, China
2
School of Electronics, Electrical and Communications Engineering, University of Chinese Academy of Sciences, Xi’an 710600, China
*
Author to whom correspondence should be addressed.
Sensors 2026, 26(11), 3295; https://doi.org/10.3390/s26113295
Submission received: 3 April 2026 / Revised: 13 May 2026 / Accepted: 20 May 2026 / Published: 22 May 2026
(This article belongs to the Section Navigation and Positioning)

Abstract

Positioning, navigation, and timing (PNT) services require stable time transfer, but satellite-based PNT signals are vulnerable to interference, attenuation, and limited availability in constrained environments. Very-low-frequency (VLF) signals propagate over long distances in the Earth–ionosphere waveguide and can serve as a terrestrial complement to satellite-based timing systems. Their timing performance, however, is affected by propagation-delay variation, especially the diurnal component associated with changes in the effective ionospheric reflection height. This study presents a propagation-delay correction method for VLF timing signals based on a phase-variation model. The total delay error is separated into primary path delay, secondary propagation delay, and residual random error. The primary delay is calculated from the transmitter–receiver path, while the periodic secondary delay is corrected using the predicted phase variation. Historical Alpha observations recorded at Chongqing and Guilin were used to evaluate the correction performance. The results show that the corrected standard deviation is reduced to 2.0054–2.2500 μs for the Chongqing paths and 2.7987–4.4792 μs for the Guilin paths. The corrected root mean square error (RMSE) ranges from 2.1316 μs to 4.5641 μs across the six Alpha propagation paths. These results indicate that the proposed method can suppress the main diurnal propagation-delay component in the selected historical Alpha datasets, although further validation with contemporary and multi-season VLF observations is still needed.
Keywords: integrated PNT system; very-low-frequency; waveguide mode propagation; propagation-delay correction integrated PNT system; very-low-frequency; waveguide mode propagation; propagation-delay correction

Share and Cite

MDPI and ACS Style

Ma, X.; Yan, W.; Hu, Z.; Yuan, J.; Hua, Y.; Li, S. Delay Correction Method Based on VLF Timing Signal Phase Variation Model. Sensors 2026, 26, 3295. https://doi.org/10.3390/s26113295

AMA Style

Ma X, Yan W, Hu Z, Yuan J, Hua Y, Li S. Delay Correction Method Based on VLF Timing Signal Phase Variation Model. Sensors. 2026; 26(11):3295. https://doi.org/10.3390/s26113295

Chicago/Turabian Style

Ma, Xinze, Wenhe Yan, Zhaopeng Hu, Jiangbin Yuan, Yu Hua, and Shifeng Li. 2026. "Delay Correction Method Based on VLF Timing Signal Phase Variation Model" Sensors 26, no. 11: 3295. https://doi.org/10.3390/s26113295

APA Style

Ma, X., Yan, W., Hu, Z., Yuan, J., Hua, Y., & Li, S. (2026). Delay Correction Method Based on VLF Timing Signal Phase Variation Model. Sensors, 26(11), 3295. https://doi.org/10.3390/s26113295

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