Advances in Radar Signal Processing Technology and Its Application

Dear Colleagues,

Radar remains a fundamental sensing technology for modern society, supporting applications ranging from air defense, space exploration, and maritime surveillance to weather monitoring, autonomous driving, and medical diagnostics. The increasing complexity of operating environments, characterized by dense clutter, spectrum congestion, and intentional electronic interference, together with the growing demand for high-resolution, multi-functional, and adaptive radar systems, has created increasing challenges. One potential solution regarding these challenges relies on the further development of radar signal processing, which serves as the core enabler for enhanced detection, estimation, imaging, classification, and tracking capabilities.

This Special Issue aims to provide a timely forum for presenting innovative methodologies, new theoretical frameworks, and practical implementations in radar signal processing. The goal is to highlight recent progress while also exploring emerging trends that will shape the next generation of radar systems.

Topics of interest include, but are not limited to, the following:

• Advanced detection, estimation, and classification algorithms under complex environments;
• Clutter, interference, and jamming suppression methods;
• Distributed, networked, and MIMO radar processing architectures;
• Adaptive waveform design and low probability of intercept (LPI) strategies;
• Machine learning and deep learning approaches in radar signal processing;
• Target recognition and behavioral analysis;
• Data fusion with heterogeneous sensors (e.g., infrared, EO/IR, communication equipment);
• Electronic counter-countermeasure (ECCM) techniques;
• Applications in defense, security, transportation, environmental monitoring, and healthcare.

Dr. Ye Yuan
Prof. Dr. Junkun Yan
Dr. Chenguang Shi
Dr. Xinyu Liu
Prof. Dr. Peng Zhang
Guest Editors

Manuscript Submission Information

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