基于固有模态函数频域熵的目标检测算法

Target Detection Algorithm Based on the Entropy of Intrinsic Mode Function in Frequency Domain

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。

Abstract:

In order to improve the detection performance of slow target in sea clutter, target detection algorithm based onthe entropy of intrinsic mode function (IMF) in frequency domain was proposed. Firstly, for getting the IMF energy distribu.tion, the signal was decomposed by using Empirical Mode Decomposition (EMD), and the energy of IMF in frequency do.main was achieving automatically by using Fourier transform. Then, the test statistics was obtained by using information en.tropy and target was detected by nonparametric detector. The results showed that, compared with sea clutter and spiky seaclutter, the energy distribution of fixed target was more dispersive, the entropy was bigger. Compared with GeneralizedSign (GS) detection method, the proposed method could achieve good detection performance and was suitable for detectingfixed target.