摘要
本文针对海杂波背景下的慢速微弱目标的检测问题,根据海杂波和目标的振荡特性差异,提出了一种基于自适应可调Q因子小波变换(Adaptive Tunable Q-factor Wavelet Transform, A-TQWT)的海杂波背景下的目标检测算法。通过迭代计算、搜索出最能匹配海杂波和目标振荡特性的可调Q小波变换(TQWT)三元参数组合(Q,r,J),运用形态分量分析法(Morphological Component Analysis, MCA)对海面回波信号进行分析,得到目标的最优稀疏表示;再根据目标分量各小波子带占总能量的比重,选取合适的门限确定重构小波系数集进行重构,得到目标的重构信号,从而实现目标和海杂波的有效分离。最后在IPIX实测数据集上添加慢速微弱运动目标进行算法验证,结果表明本文提出的算法可以有效检测出落入海杂波多普勒通道中的慢速微弱目标,且不需要任何目标和杂波的先验信息。
In this paper, for the detection of slow and weak targets submersed in the sea clutter, by utilizing the difference between the oscillation characteristics of the sea clutter and the moving targets, a slow and weak target detection algorithm in the background of sea clutter based on the adaptive tunable Q-factor wavelet transform is proposed. Through iterative calculation and searching for the optimal ternary parameter combination that best matches the sea clutter and target oscillation characteristics, the morphological component analysis method is used to analyze the sea surface echo signal to obtain the optimal sparse representation of the target;then according to the proportion of each wavelet sub-band in the total energy of the target component, an appropriate threshold is selected to determine the reconstruction wavelet coefficient set, and thus the target signal can be effectively separated from the sea clutter. Finally, simulation experiments with measured data from IPIX are carried out to verify the effectiveness of the proposed method. Results show that the algorithm proposed in this paper can effectively detect the slow and weak target falling into the sea clutter Doppler channel without any prior information of targets and clutter.
作者
冯云
宗竹林
李思琦
FENG Yun;ZONG Zhulin;LI Siqi(Research Institute of Electronic Science and Technology,University of Electronic Science and Technology of China,Chengdu,Sichuan 611731,China)
出处
《信号处理》
CSCD
北大核心
2021年第2期304-316,共13页
Journal of Signal Processing
基金
国家自然科学基金(61601099)。
作者简介
冯云男,1989年生,四川人。电子科技大学电子科学技术研究院硕士研究生,主要研究方向为海杂波背景下的目标检测技术。E-mail:625354149@qq.com;宗竹林男,1983年生,江西人。博士,电子科技大学电子科学技术研究院副研究员,主要研究方向为雷达信号处理、相控阵雷达系统、频控阵雷达系统。E-mail:zongzhulin@uestc.edu.cn;李思琦女,1996年生,四川人。电子科技大学电子科学技术研究院硕士研究生,主要研究方向为频控阵雷达抗干扰。E-mail:18708215826@163.com。
