摘要
强海浪中小目标回波的检测一直是船用雷达目标识别的难点,但现有的统计方法难以准确和全面地描述复杂的海杂波特性.要突破这一局限性,以获得对复杂现象更有效的描述,就迫切要求使用新技术.文中利用小波理论,针对强海浪下点目标和低矮宽大目标二类以往难以检测的目标,通过区分噪声、点目标、低矮宽大目标在小波变换下不同的奇异特征、设计了一套能够识别出点目标和低矮宽大目标的方案.
The examination for small targets in strong sea clutter is difficult for marine radar to identify, also traditional statistical analyzing method is hard to describe the complicated characteristic of sea clutter completely and accurately. To break this localization and to acquire method to describe more effectively to the complicated phenomenon, it is urgent for new technique. This paper makes use of the wavelet theories, aiming at the particle target and generous target which are low in strong sea clutter and hard to examine before. To distinguish singular feature under the wavelet transfor for signals of the particle target and generous target which are low and noisy, a method is designed to identify these targets.
出处
《武汉理工大学学报（交通科学与工程版）》
2007年第6期1125-1127,1131,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
雷达
小波
海杂波
混沌
radar
wavelet
sea clutter
chaos
