All-Source Position and Navigation: An Alternative Solution for Resilient PNT

Dear Colleagues,

Having assured PNT everywhere and at every moment is critical for many infrastructures and applications around the world, e.g., power grids, smartphones, and vehicle. Currently, GNSS is the primary source of PNT information. However, GNSS signals are weak, and they are susceptible to both unintentional and intentional interference and spoofing. Surrounded environments, i.e., urban canyons and tunnels with multipath, non-line-of-sight (NLOS), and signal blockages also negatively influence GNSS position results. The question of how to assure reliable PNT from GNSS in environments where signal interception is challenging or impossible has attracted much attention in the research community. The integration of GNSS with other sensors is widely recognized as the  approach with the greatest prospects of providing more reliable PNT information. All-source navigation aims at providing a uniform method and framework for multiple navigation technology, supporting “plug and play” with rapid integration and reconfiguration of any combination of sensors.

This Special Issue of Applied Sciences aims to provide a platform for researchers to publish innovative work on all-source navigation and assured PNT technology for various applications, i.e., in smartphones, ground vehicles, and UAVs. Potential topics include, but are not limited to, the following:

• Advanced technologies for MEMS IMU drift suppressing
• Advanced sensor technologies, i.e., new gyroscope, new accelerometer, new LiDAR
• Advanced method for multipath and NLOS signal classification, mitigation, or correction
• Cooperative navigation
• Environmental awareness-aided position and navigation with smartphone
• Integrity monitor and quality control and assessment
• LiDAR/visual SLAM
• New concepts or methods for sensors integration under GNSS-denied environments
• Opportunity signals processing for reliable position
• Resilient framework for multiple sensor integration
• Reliable PNT for UAVs, UGVs, and pedestrians in dense urban areas

Prof. Dr. Yuwei Chen
Dr. Changhui Jiang
Dr. Qian Meng
Dr. Bing Xu
Dr. Shoubin Chen
Guest Editors

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