Advances in GNSS Signal Processing and Navigation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 215
Special Issue Editors
Interests: GNSS spoofing and jamming detection; radio monitoring; deep learning
Interests: wireless communication; signal processing; radio monitoring; deep learning
Special Issue Information
Dear Colleagues,
As a fundamental spatiotemporal information service infrastructure, the Global Navigation Satellite System (GNSS) provides precise Positioning, Navigation, and Timing (PNT) services and enables a wide range of innovative applications. However, due to the use of MEO/HEO satellites, the quality of received GNSS signals is highly susceptible to environmental factors, including non-line-of-sight (NLOS) reception, spoofing attacks, and jamming. Globally, more than 10,000 radio frequency interference (RFI) events were detected in 2021 through the in-flight monitoring of aircraft GNSS receivers, reported by the International Telecommunication Union (ITU). With GNSS-denied environments becoming increasingly widespread, there is an urgent need to develop new GNSS architectures, signal processing algorithms, and techniques to improve the PNT services. This Special Issue will highlight the latest technological developments in GNSS signal processing, LEO opportunistic Doppler-aided GNSS positioning, GNSS alternatives, and novel applications. We invite researchers and investigators to contribute original research or review articles to this Special Issue. The scope of this Special Issue will be broadly interpreted to include, but not be limited to, the following topics:
- GNSS Signal Processing for Positioning, Navigation, and Timing;
- Cybersecurity Framework of GNSS for PNT Services;
- Opportunistic PNT with Signals from LEO Communication Satellites and Signal Processing;
- Opportunistic PNT with Signals from Terrestrial Radio Frequency Sources and Signal Processing;
- Electromagnetic Space Radio Safety and GNSS Signals Monitoring Framework;
- GNSS Signal Processing based on Machine Learning, Deep Learning, and Generative Artificial Intelligence;
- Artificial Intelligence Applications for GNSS;
- GNSS Spoofing Detection and Signals Processing;
- GNSS Jamming Detection and Signals Processing;
- GNSS Signals Monitoring and Signals Processing;
- Passive Radar Signal Processing based on GNSS Signals;
- GPS Service for Geodynamics;
- GNSS Real-Time Kinematic (RTK) Techniques and Signals Processing;
- Environment Classification based on GNSS Signal;
- Soil Moisture Retrieval from GNSS Observations.
Prof. Dr. Ming Huang
Dr. Jingjing Yang
Dr. Zhe Xiao
Guest Editors
Manuscript Submission Information
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Keywords
- GNSS signal processing
- LEO opportunistic Doppler-aided GNSS positioning
- GNSS alternatives
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