摘要
受船载平台运动、海杂波、多目标聚集以及环境干扰等的影响,海上船只目标的雷达回波极易被遮蔽和淹没,导致船载地波雷达的目标监视监测能力大幅减弱。为提高船载地波雷达对船只目标的检测与发现性能,提出了一种基于频谱细化和二阶同步压缩变换的目标检测方法。该方法首先对船载地波雷达的回波信号进行频率细化处理,提高频率分辨率;然后,通过二阶同步压缩变换的时频分析方法来提取目标的时频分布特征;最终,根据得到的时频分布特征来实现目标检测。实验结果表明:与短时傅里叶变换、小波变换等传统的时频分析方法相比,本文提出的方法不仅具有更好的时频聚集性,而且能有效检测海杂波附近的运动目标以及回波多普勒频率相近的多船只聚集目标。
Due to the influence of the movement of shipborne platform,sea clutter,multi-target aggregation and environmental interference,the radar echo of ship targets on the sea surface are easily obscured and submerged,which results in the greatly weakened target monitoring capability of shipborne surface wave radar.In order to improve the detection and discovery performance of shipborne surface wave radar,a target detection method based on spectrum refinement and second order synchrosqueezing transform is proposed.Firstly,the frequency refinement of shipborne surface wave radar echo signal is carried out to improve the frequency resolution.Then,the time-frequency distribution characteristics of the target are extracted by the time-frequency analysis method of second-order synchrosqueezing transform.Finally,target detection is realized according to the time-frequency distribution characteristics obtained.The experimental results show that compared with the traditional time-frequency analysis methods such as short-time Fourier transform and wavelet transform,the proposed method not only has better time-frequency aggregation,but also can effectively detect moving targets near sea clutter and multi-ship aggregation targets with small echo Doppler frequency difference.
作者
刘亚春
王祎鸣
杨俊钢
LIU Yachun;WANG Yiming;YANG Jungang(College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;First Institute of Oceanography,MNR,Qingdao 266061,China)
出处
《海洋科学进展》
CAS
CSCD
北大核心
2024年第1期116-125,共10页
Advances in Marine Science
基金
国家重点研发计划项目(2017YFC1405202和2016YFC1401103)。
关键词
高频地波雷达
目标检测
时频分析
频谱细化
同步压缩变换
High Frequency Surface Wave Radar(HFSWR)
target detection
time frequency analysis
spectrum refinement
syn-chrosqueezing transform
