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March 14, 2026Bulletin of National Natural Science Foundation of China0 citations

Radar Low Altitude Target Detection and Prevention:Progress and Prospects

XCXiaolong ChenWCWeishi ChenSCSiwei Chen

Key Points

  • The aim is to enhance radar detection capabilities for low-altitude targets like UAVs and birds in complex environments.
  • Comparative analysis of low-altitude detection techniques
  • Review of radar detection technologies for UAVs and birds
  • Focus on systems such as digital array pan-search radar and meteorological radar
  • Discussion on distributed radar and integrated communication-sensing detection
  • Highlighted the challenges of detecting low-slow-small targets effectively
  • Identified key scenarios for radar applications, such as preventing airport bird strikes and countering UAV threats
  • Outlined future developments in intelligent processing and waveform optimization

Abstract

With the rapid development of the low-altitude economy,low-altitude targets such as unmanned aerial vehicles (UAVs) have been widely applied in fields like logistics,agricultural plant protection,and emergency rescue. These targets are characterized by low flight altitude,slow movement speed,and small size (commonly known as “low-slow-small”),which put extremely high demands on surveillance systems. As a core detection method,radar is in urgent need of enhancing its ability to accurately detect and classify low-altitude targets such as birds and UAVs in complex backgrounds. This paper makes a comparative analysis of major low-altitude detection means,systematically reviews the progress of radar detection and recognition technologies for birds and UAVs,and focuses on the applications of typical systems based on digital array pan-search radar,external radiation source radar,and meteorological radar. It expounds on the key role of radar low-altitude detection in scenarios such as airport bird strike prevention and UAV countermeasures,and discusses emerging technical directions like distributed radar and integrated communication-sensing detection. Finally,it looks ahead to future developments in waveform optimization design,intelligent information processing,and other aspects.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69b4fa9ab39f7826a300b4aehttps://doi.org/10.3724/bnsfc-2025.07.25.0005
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