Advanced Signal Processing Techniques in Radiation Detection and Imaging, Volume II

This Research Topic is Volume II of a series. The previous volume can be found here:
Advanced Signal Processing Techniques in Radiation Detection and Imaging

With the complexity of the electromagnetic environment, there is an increasing demand for radiation detection and imaging with high-efficiency, high-accuracy, and high-resolution in several fields. At the same time, the system's requirements for the accurate detection and adaptation of interference and targets in complex environments are also increasing. Therefore, it is urgent to promote the innovation of the theory and technology of electromagnetism and signal processing, and improve the system's ability to obtain information. For example, in recent years, polarization information of electromagnetic waves has been widely used for high-resolution imaging, parameter estimation, and anti-jamming in complex targets and complex environments as well as model mismatch conditions.

This proposed Research Topic intends to start from the detector imaging mechanism, imaging data processing, and high-resolution reconstruction, focusing on radiation detection data processing and algorithm development, software and hardware collaboration and intelligent processing in wireless engineering systems, accurate measurement of targets and environmental features, target classification and identification, adaptability to complex electromagnetic environment. We hope that this Research Topic will promote the understanding of radiation imaging and its signal processing technologies and explore their applications. Much more efforts are still ongoing in this fascinating area.
Potential topics include, but are not limited to:
• Electromagnetic metasurface and information metasurface
• Intelligent reflective surface
• Millimeter and Terahertz techniques
• Antenna array beamforming
• Radar and radiometric imaging and detection mechanisms
• Interference detection and positioning
• Jamming and anti-jamming
• Target recognition
• Wireless transmission
• Vortex electromagnetic wave
• Multi-objective optimization
• Machine learning