摘要
为提高海杂波中慢速目标的检测性能,提出了一种基于固有模态函数(IMF)频域熵的目标检测算法。该算法对原始信号经EMD分解后得到的固有模态函数采用Fourier变换,自动地提取其各个分量的频域能量,以此获得IMF能量分布特点,再运用信息熵的方法构建检验统计量,并将其输入非参量检测器中进行目标检测。研究结果表明,相比于海杂波、海尖峰,慢速目标的能量分布更为分散,熵值更大,对比频域广义符号(GS)检测算法,所提方法检测性能更优,适用于慢速目标检测。
In order to improve the detection performance of slow target in sea clutter, target detection algorithm based on the entropy of intrinsic mode function（IMF） in frequency domain was proposed. Firstly, for getting the IMF energy distribution, the signal was decomposed by using Empirical Mode Decomposition（EMD）, and the energy of IMF in frequency domain was achieving automatically by using Fourier transform. Then, the test statistics was obtained by using information entropy and target was detected by nonparametric detector. The results showed that, compared with sea clutter and spiky sea clutter, the energy distribution of fixed target was more dispersive, the entropy was bigger. Compared with Generalized Sign（GS） detection method, the proposed method could achieve good detection performance and was suitable for detecting fixed target.
出处
《海军航空工程学院学报》
2016年第3期379-384,共6页
Journal of Naval Aeronautical and Astronautical University
基金
国家自然科学基金资助项目(61471382
61401495
61201445
61179017)
"泰山学者"建设工程专项基金资助项目
飞行器海上测量与控制技术联合实验室开放基金资助项目
关键词
固有模态函数
熵
广义符号
海尖峰
intrinsic mode function
entropy
generalized sign
spiky sea clutter
