Radar Sensing and Intelligent Recognitions: Algorithms, Data and Advanced Applications

Dear Colleagues,

Radar systems have emerged as essential tools for sensing and surveillance, playing a critical role in various civil applications. These systems offer a robust and adaptable means for microwave remote sensing of terrestrial and marine environments, as well as for the detection and tracking of various targets. In recent years, significant advancements have been made in radar technology, particularly in the realms of radar echo signal acquisition and target signal processing based on artificial intelligent (AI) techniques. These developments have greatly enhanced the precision and effectiveness of radar systems. Despite these breakthroughs, however, a number of challenges remain in certain critical areas. Among these are environmental and target scattering, intelligent radar-based target detection, radar imaging capabilities, and the integration of novel technologies into radar systems. Addressing these challenges is essential for further improving radar performance and expanding its capabilities. The current trajectory of radar research is primarily characterized by three major trends：

(a) Scattering data simulation techniques for microwave remote sensing of land/sea environments;

(b) High-resolution radar imaging technology for target characterization;

(c) Artificial intelligence-based radar perception techniques.

This column will focus on an in-depth exploration of these three themes. Submissions of innovative research results in related areas are highly welcomed.

Machine learning has revolutionized radar sensing by enabling adaptive feature extraction and pattern recognition, fostering applications such as intelligent target classification and cognitive electronic warfare. Nevertheless, the full potential of machine learning in land/sea environment perception and target detection/recognition remains to be further explored. This Special Issue highlights pioneering research on radar echo acquisition, signal processing algorithms, AI, and emerging applications. We sincerely invite submissions addressing open challenges in radar sensing and intelligent recognition topics showcasing innovations in microwave remote sensing of land/sea environments, security surveillance, target detection, and target identification.

Contributions discussing major challenges, the latest developments, and state-of-the-art advances in this field are highly encouraged.

Potential topics include, but are not limited to, the following topics:

• Radar scattering and its application for remote sensing: scattering simulation and target characteristics;
• Ocean remote sensing: sea clutter and its characteristics analysed by AI;
• Intelligent radar sensing: algorithms and applications;
• Multi-dimensional radar sensing: advances in systems and algorithms;
• Intelligent processing for extracting latent information from radar echoes;
• Three-dimensional SAR/InSAR imaging with artificial intelligence and machine learning-based approaches;
• MIMO and multistatic/distributed radar systems, schemes, and data processing techniques;
• Intelligent radar imaging in model-driven learning;
• Generative radar signal processing.

Dr. Wei Yang
Dr. Tiaojie Xiao
Dr. Mou Wang
Dr. Conghui Qi
Dr. Shiwen Lei
Guest Editors

Manuscript Submission Information

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