| 引用本文: | 茆 禹， 王志刚， 金 秋. 基于多种模态分解重构的海面慢小目标检测方法[J]. 雷达科学与技术, 2025, 23(3): 349-354.[点击复制] |
| MAO Yu, WANG Zhigang, JIN Qiu. The Method for Detecting Slow and Small Targets on the Sea Surface Based on Multi-Modal Decomposition and Reconstruction[J]. Radar Science and Technology, 2025, 23(3): 349-354.[点击复制] |
|
| 摘要: |
| 在海杂波背景下，慢速小目标的检测一直是雷达信号处理中的难点之一。这类目标的时频域特征往往与海杂波的特征高度重叠，使得传统的检测方法难以有效区分目标和杂波。为了应对这一挑战，本文提出了一种基于多种模态分解重构的办法，通过变分模态分解与分数阶傅里叶变换对海杂波背景下的目标信号进行分解，并用能量熵和奇异值分解方法重构目标信号。实测数据验证了该方法在海杂波抑制方面的显著效果，表明其可以显著提升雷达在复杂海况中的小目标检测性能，为海杂波环境下的目标检测提供了新思路和技术手段。 |
| 关键词: 海杂波 慢小目标检测 变分模态分解 分数阶傅里叶变换 能量熵 奇异值分解 |
| DOI：DOI:10.3969/j.issn.1672-2337.2025.03.013 |
| 分类号:TN951 |
| 基金项目:国家自然科学基金（No.62471227） |
|
| The Method for Detecting Slow and Small Targets on the Sea Surface Based on Multi-Modal Decomposition and Reconstruction |
|
MAO Yu, WANG Zhigang, JIN Qiu
|
|
The Eighth Research Academy of CSSC, Nanjing 211153, China
|
| Abstract: |
| Detecting slow and small targets in a sea clutter background has always been a challenge in radar signal processing. The time-frequency domain characteristics of such targets are often overlapped significantly with the characteristics of sea clutter, making it difficult for traditional detection methods to effectively distinguish between the target and clutter. To cope with the challenge, this paper proposes a method based on multi-modal decomposition and reconstruction. Variational mode decomposition （VMD） and fractional Fourier transform （FRFT） are used to decompose the target signal in a sea clutter environment, while energy entropy and singular value decomposition （SVD） are employed to reconstruct the target signal. Experimental data verify the significant effect of this method in sea clutter suppression, demonstrating its potential to substantially improve radar detection of small targets in complex sea conditions and provide new ideas and technical means for target detection in sea clutter environment. |
| Key words: sea clutter slow and small target detection variational mode decomposition fractional Fourier transform energy entropy singular value decomposition |
