基于高斯短时分数阶Fourier变换的海面微动目标检测方法

发布时间：2018-03-09 11:45

本文选题：微动目标　切入点：海尖峰　出处：《电子学报》2014年05期 　论文类型：期刊论文

【摘要】：海上目标随海面颠簸导致姿态变化,引起回波功率调制效应,导致回波多普勒体现时变和非平稳特性.为此,本文将微多普勒理论应用于海杂波中弱目标检测,提出一种基于高斯短时分数阶Fourier变换(GSTFRFT)的海面微动目标检测方法.首先,建立海面目标的平动和三维转动回波模型;然后,基于海尖峰判别方法对回波信号进行数据筛选,改善信杂比,并采用GSTFRFT对微动信号进行增强处理,利用海面目标与海杂波的微动特征差异设计恒虚警检测方法;最后,通过GSTFRFT域滤波,提取信号的微动特征并得到瞬时频率.实测雷达数据仿真结果验证了算法的有效性,具有在强海杂波中检测微弱目标的能力.
[Abstract]:In this paper, the micro-Doppler theory is applied to the detection of weak targets in Yu Hai clutter based on micro-Doppler theory, which leads to the change of attitude, the power modulation effect of echo, and the time-varying and non-stationary characteristics of echo Doppler. A method of detecting fretting target based on Gao Si's short time fractional Fourier transform is proposed. Firstly, the translation and 3D rotational echo models of sea surface target are established, and then the echo signal is screened based on the sea peak discriminant method. The signal to clutter ratio is improved, and the fretting signal is enhanced by GSTFRFT. The CFAR detection method is designed by using the fretting characteristic difference between the sea surface target and the sea clutter. Finally, the CFAR detection method is designed by GSTFRFT filtering. The fretting feature of the signal is extracted and the instantaneous frequency is obtained. The simulation results of the measured radar data show that the algorithm is effective and has the ability to detect weak targets in strong sea clutter.
【作者单位】：海军航空工程学院电子信息工程系;海军航空工程学院信息融合研究所;
【基金】：国家自然科学基金(No.61201445,No.61179017,No.61002045) “泰山学者”建设工程专项经费
【分类号】：TN957.51

【参考文献】