Special Issue "Advanced Signal Processing for Position, Navigation and Timing of Autonomous and Cyber-Physical Systems"
Deadline for manuscript submissions: 15 November 2023 | Viewed by 221
Interests: position; navigation and timing (PNT); cognitive communications; radar systems; multi-sensor navigation; autonomous systems; multi-sensor fusion; damage diagnostics; vibration NDT; acoustic and ultras
Interests: autonomous systems; advanced flight controls; human–autonomy interaction; urban air mobility; explainable AI for trustworthy autonomous systems
Special Issues, Collections and Topics in MDPI journals
Special Issue in Electronics: Intelligent Robotics and Autonomous Systems for Challenging Environments
Special Issue in Aerospace: Advanced Air Mobility
The present-day requirements for high levels of performance, intelligence and robustness in the operation of autonomous and cyber-physical systems often demands that the system have access to accurate, relevant and reliable position and time information through the utilization of new high-performance Position, Navigation and Timing (PNT) technologies. Advanced signal processing techniques play a crucial role in ensuring the quality of PNT information, especially in multi-sensor solutions, thus underpinning improvements in the accuracy, robustness and security of autonomous and cyber-physical systems, while maintaining the cost and complexity of the system at lower levels.
The main challenges of new PNT technologies include quality control and integrity analysis, the detection and correction of errors and failures, as well as its ability to work effectively with large amounts of data for resource-constrained systems. Recent research has focused on improving methods for processing PNT signals and observables, the detection and correction of errors due to sensor imperfections or environmental effects, fusing PNT information, and predicting and assessing its quality.
Multiple advanced signal processing methods, which range from statistical analysis and conventional signal processing to fully AI-driven solutions, have been proposed to solve elements of these problems. However, growing demands for higher levels of quality and reliability in the PNT information, fueled by new emerging applications of autonomous and cyber-physical systems, requires further advances in this field.
To facilitate these advances, in this Special Issue, we welcome review and research papers that present novel and advanced methods for PNT-related Signal Processing, including, but not limited to, the enhancement of the PNT sensor information, such as inertial measurement unit and visual odometry error prediction, and the correction and processing of Signals of Opportunity (SOOP); the detection and mitigation of interferences in GNSS-based solutions (e.g. multipath, jamming and spoofing); sensor and information fusion; integrity monitoring and uncertainty prediction; the quantification of PNT information, and time dissemination and synchronization for autonomous and cyber-physical systems.
Dr. Ivan Petrunin
Prof. Dr. Gokhan Inalhan
Dr. Zhengjia Xu
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- signal processing
- sensor fusion
- autonomous systems
- machine learning