Advanced Interference Mitigation Techniques for GNSS Signal Processing and Navigation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: 15 October 2024 | Viewed by 415
Special Issue Editors
Interests: multi-sensor system integration for vehicle navigation; artificial neural networks and its application to INS/GPS integration
Special Issues, Collections and Topics in MDPI journals
Interests: multi-sensor data fusion; integrated positioning and navigational technologies; robotics and control system; educational technologies; design thinking and technological innovations; IoT; wearable technology
Special Issues, Collections and Topics in MDPI journals
Interests: GNSS; GPS; Navigation; multi-sensor integration; autonomous vehicles; machine vision; machine learning; deep learning
Special Issue Information
Dear Colleagues,
Positioning and navigation of autonomous vehicles (including automated cars, unmanned ground and air vehicles (UGVs and UAVs) and drones) rely mainly on GNSS; however, GNSS cannot maintain the accuracy, reliability, continuity, and robustness of the positioning solution while being affected by radiofrequency interference. Such interference could be intentional, as in the case of jamming or spoofing, or it could be unintentional, as in the case of harmonics from other wireless systems using frequency bands close to GNSS bands, such as 5G. The presence of such signals poses a significant threat to future autonomous vehicles, as it could cause a malfunction of the positioning service that might result in serious safety issues. Therefore, the main objective of this Special Issue is to feature the present advances and survey papers in research areas related to interference signal detection, and mitigation for GNSS-based positioning applications. Invited original research contributions can cover a wide range of topics, including but not limited to the following:
- Analysis of the impact of GNSS interference on land, airborne, and marine navigation applications;
- Advanced signal processing and spectral estimation methods for GNSS interference detection and mitigation;
- Case studies and new results on GNSS interference detection and mitigation methods;
- Analysis of the impact of GNSS jamming and spoofing on the operation of autonomous platforms;
- Enhancing the safety and reliability of autonomous systems in the presence of interference;
- Multi-sensor fusion with other sensors and systems (e.g., INS, radars, cameras, LiDAR) for mitigating the impact of GNSS interference.
Prof. Dr. Aboelmagd Noureldin
Dr. Umar Iqbal
Dr. Haidy Y.F. Elghamrawy
Guest Editors
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