Cognition and Utilization of Electromagnetic Space Signals
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (15 July 2024) | Viewed by 3751
Special Issue Editors
Interests: electromagnetic signal processing; statistical signal processing; Artificial Intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: wireless communications; UAV communications; statistical signal processing; wireless relaying and energy harvesting
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The cognition and utilization of electromagnetic space signals have long provided the basis of electromagnetic signal processing. With the emergence of technologies and services such as mobile Internet, Internet of Things, big data, robotics, etc., there has been exponential growth in the variety types of electromagnetic equipment and systems, such as communication, radar, navigation, remote sensing, etc., resulting in the emergence of electromagnetic signals with complex characteristics such as nonlinear causality, self-organised evolution, and large-scale emergence. To attain a thorough comprehension and optimal usage of intricate electromagnetic spatial signals, it is imperative to investigate fresh models and concepts of electromagnetic spatial perception and usage. These include immersive perception, integrated detection of subject and object, and measurement fusion, which can prompt leapfrog development and disruptive innovation within the corresponding electromagnetic information technology sector. Despite the use of statistical analysis, data mining, artificial intelligence, and other technologies in a great deal of research aimed at enhancing the capacity for cognition and utilization of electromagnetic signals, these works still fail to maximize the use of deep cognitive capabilities and scientific utilization. Topics of interest include, but are not limited to, the following areas:
- interaction mechanism of electromagnetic signals;
- intelligent sensing of electromagnetic signals;
- intelligent cognition of electromagnetic signals;
- fusion characterization of electromagnetic signals;
- passive detection using electromagnetic signals;
- target cognition using electromagnetic signals;
- behavior prediction of emitter using electromagnetic signals;
- control and application of electromagnetic signals.
Dr. Mingqian Liu
Prof. Dr. Yunfei Chen
Dr. Huaji Zhou
Guest Editors
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Keywords
- Artificial Intelligence
- electromagnetic signals
- signal interaction and control
- signal processing
- intelligence control
- intelligence information security
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