摘要
海雾探测雷达由于架设高度低、观测仰角低,会受到众多来源的杂波干扰,这些杂波的分析是改善海雾探测效果的基础。本文针对毫米波海雾探测雷达数据中的舰船杂波,统计了舰船所造成杂波的时域及频域特性,提出了舰船杂波提取算法,实现了舰船信号和气象回波的分离。在此基础上,通过剔除舰船信号后的功率谱二次识别,实现了海雾观测数据中舰船信息的抑制,提升了毫米波雷达测雾数据的质量。更进一步,通过挖掘杂波中蕴含的信息,成功提取出舰船的长度、航速、航向等多重信息。初步探究了气象雷达在舰船监测方面的应用潜力。
Analysis of ship clutter in MMW sea fog detection radar data sea fog detection radar will be interfered by many sources of clutter,and the analysis of these clutter is the basis of improving the sea fog detection effect.In this paper,the ship clutter in the MMW sea fog detection radar data is analyzed,and the characteristics of clutter interference caused by the ship are counted.The separation of ship signal and weather echo is realized,and the data quality of sea fog detection is improved.By further mining the information contained in the clutter,multiple information such as the length,speed and course of the ship is extracted.The potential of weather radar in ship identification is preliminarily explored.
作者
任雍
吴雪菲
陶法
陈斌源
冯凯
Ren Yong;Wu Xuefei;Tao Fa;Chen Binyuan;Feng Kai(Meteorological Observation Center of the China Meteorological Administration,Beijing 100044,China;Fujian Atmospheric Detection Technology Support Center,Fuzhou 350008,China;Zhangzhou Meteorological Bureau,Zhangzhou 363099,China;Beijing Institute of Radio Measurement,Beijing 100854,China)
出处
《电子测量技术》
北大核心
2022年第10期161-169,共9页
Electronic Measurement Technology
基金
国家重点基础研究发展计划(973计划)
国家重点研发计划(2017YFC1501700)项目资助
关键词
舰船识别
毫米波雷达
海雾观测
ship identification
millimeter-wave radar
sea fog detection
