基于CiteSpace的“低慢小”无人机拒止技术预见分析

“Low-slow-small”UAV denial technology foresight analysis based on CiteSpace

使用信息可视化软件CiteSpace,分别从WOS和CNKI学术数据库中获取“低慢小”无人机拒止技术相关文献集,采取共现、聚类、突变等分析方式进行技术预见,利用软件提供的词频探测技术,绘制了该技术领域的科学知识图谱,解读了“低慢小”无人机拒止技术的热点、前沿,并对其发展趋势进行了分析。研究发现:光电探测、雷达探测、声学探测、频谱干扰、定向能毁伤技术研究为该研究领域的热点,机器深度学习和微波照射技术为未来潜在的研究热点主题。

Using the information visualization software CiteSpace,the relevant literature collections of“Low-slow-small”UAV denial technology were obtained from WOS and CNKI academic databases respectively.The analysis methods of co-occurrence,clustering and mutation were adopted to predict the technology.Using the word frequency detection technology provided by the software,the map of scientific knowledge in this technology field was drawn,and the hot spots and trends of“Low-slow-small”UAV denial technology were interpreted.At the same time,its development trend was analyzed.It is found that photoelectric detection,radar detection,acoustic detection,spectrum interference and directional energy damage technology are the hot topics in this research field,and machine deep learning and microwave irradiation technology are the potential hot topics in the future.