Artificial Intelligence (AI) Based Radar Detection and Recognition in Complex Electromagnetic Environments
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".
Deadline for manuscript submissions: closed (15 July 2025) | Viewed by 1260
Special Issue Editors
Interests: space-time adaptive processing; passive bistatic radar; MIMO radar; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: direction of arrival estimation; space-time adaptive processing; MIMO radar
Interests: radar signal processing and the application of deep learning to radar target detection
Special Issue Information
Dear Colleagues,
With the rapid advancement of the information age, radar has emerged as an indispensable tool for information acquisition, playing a crucial role in various domains. However, increased electromagnetic technology use has led to a more complex electromagnetic environment, posing unprecedented challenges for radar systems. Radar systems are relied upon in civilian applications, including weather monitoring, traffic control, aviation safety, and unmanned aerial vehicles. To address these diverse demands, radar systems must provide high-precision target detection and recognition by effectively processing environmental interference and signals from other electronic devices. In the last few decades, continuous advancements in anti-interference and target recognition technologies, particularly breakthroughs in artificial intelligence (AI) techniques like deep learning and reinforcement learning, have opened new avenues for improving radar system performance. These AI-based approaches are now widely employed in areas such as interference recognition, ground/sea clutter suppression, moving target detection, and the direction of arrival estimation, showing great potential for radar target detection in complex electromagnetic environments.
This Special Issue will compile the latest research related to radar detection and recognition in complex electromagnetic environments, with an emphasis on AI-based methods. We invite researchers to contribute original research articles and comprehensive review articles. Topics include but are not limited to the following:
- Radar array signal processing;
- Radar interference and clutter suppression;
- Radar waveform design and optimization;
- AI-based radar signal processing;
- Target detection in complex electromagnetic environments;
- Radar target recognition and classification;
- Radar image processing and analysis;
- Radar system optimization and design;
- Intelligent perception and decision support technologies for radar systems;
- Other innovative research related to this Special Issue’s theme.
We look forward to receiving your contributions.
Dr. Weike Feng
Dr. Yiduo Guo
Dr. Yu Zhang
Dr. Jian Gong
Guest Editors
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Keywords
- radar signal processing
- interference and clutter suppression
- artificial intelligence
- machine learning
- deep learning
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