一种基于变分模态分解与模糊熵的海杂波去噪方法

• Format: Patent
• Language: Chinese
• Published: 23.08.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

本发明公开了一种基于变分模态分解与模糊熵的海杂波去噪方法，包括如下步骤：步骤S1：获取海杂波基本数据；步骤S2：利用EMD算法自适应分解海杂波序列，得到对应自适应分解层数u；步骤S3：以自适应分解层数u为基础，获取变分模态分解层数K取值范围，在变分模态分解层数K取值范围内选取最优的变分模态分解层数K*，用最优的变分模态分解层数对海杂波信号进行变分模态分解，得到K*个固有模态函数IMF；步骤S4：设定模糊熵算法初始参数；利用模糊熵算法对K*个固有模态函数IMF进行分类；步骤S5：对噪声分量进行平滑滤波；步骤S6：重构去噪信号。本发明利用赫斯特指数值确定优化的分解次数，对于分解后的各模态分量，使用模糊熵算法对其属性进行判断。 The invention discloses a sea clutter denoising method based on variational mode decomposition and fuzzy entropy. The sea clutter denoising method comprises the following steps of S1, obtaining sea clutter basic data; s2, adaptively decomposing the sea clutter sequence by using an EMD algorithm to obtain a corresponding adaptive decomposition layer number u; s3, on the basis of the adaptive decomposition layer number u, obtaining a value range of a variational mode decomposition layer number K, selecting an optimal variational mode decomposition layer number K * in the value range of the variational mode decomposition layer number K, and performing variational mode decomposition on the sea clutter si