Topic Editors
LEO/GNSS Satellite Clocks: Characterization, Determination, Prediction and Application
Topic Information
Dear Colleagues,
Satellite clocks are one of the fundamental pillars of satellite navigation. However, compared with satellite orbits, the determination and prediction of satellite clocks pose greater challenges, particularly for Low Earth Orbit (LEO) satellites due to their characteristics. Therefore, this Topic focuses on theoretical foundations and key technologies related to LEO/GNSS clocks, including: (1) characterization of LEO/GNSS satellite clocks, covering the characteristics and influencing factors of different onboard clock types across various constellations; (2) satellite clock determination, encompassing LEO satellite clock determination, GNSS satellite clock determination, and LEO-augmented GNSS clock determination; (3) satellite clock prediction, with an emphasis on machine learning-based methods for LEO/GNSS clock prediction; (4) satellite clock applications, addressing time and frequency transfer, precise timing, and related fields.
We sincerely welcome submissions covering the following topics: GNSS clocks, LEO clocks, LEO navigation augmentation, time and frequency transfer, PPP applications, integrity monitoring, and the design and manufacturing of spaceborne clocks. This Topic brings together researchers from the fields of satellite navigation, aerospace, electronics, and related disciplines, with the aim of advancing both theoretical understanding and practical applications of satellite clocks—a critical element in Positioning, Navigation, and Timing (PNT).
Dr. Meifang Wu
Dr. Fu Zheng
Dr. Yulong Ge
Topic Editors
Keywords
- LEO
- GNSS
- satellite clocks
- determination
- prediction
- time transfer
- timing
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Applied Sciences
|
2.9 | 6.1 | 2011 | 15 Days | CHF 2400 | Submit |
Geomatics
|
3.7 | 4.6 | 2021 | 21.6 Days | CHF 1200 | Submit |
Remote Sensing
|
4.3 | 9.4 | 2009 | 22 Days | CHF 2700 | Submit |
Time and Space
|
- | - | 2025 | 15.0 days * | CHF 1000 | Submit |
* Median value for all MDPI journals in the first half of 2026.
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