Weak Target Detection Based on Intrinsic Mode Energy Entropy
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摘要: 该文分析了海杂波能量在各固有模态函数(IMF)间的分布特点，研究了目标对海杂波能量在各IMF间分布的影响。研究发现，无目标时，海杂波的能量主要集中于先分解出的3个IMF中，而当目标出现时，海杂波的能量将向后分解出的6个IMF扩散，且固有模态能量熵恰能描述目标出现引起的海杂波能量分布的这种变化，因此该文提出了采用固有模态能量熵检测微弱目标的算法。仿真结果表明，与基于盒维数的微弱目标检测算法、频域CFAR检测方法和多脉冲CA-CFAR(100个脉冲)检测算法相比，该算法的检测性能较好，有效增强了雷达对海杂波中微弱目标的检测能力。
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关键词:
- 目标检测 /
- Hilbert-Huang变换 /
- 固有模态函数 /
- 固有模态能量熵 /
- 海杂波
Abstract: In the paper, the percentage of the Intrinsic Mode Function (IMFs) energy in the whole sea clutter energy is analyzed, the percentage variation affected by the target is discussed. As shown of the results, the energy of the pure sea clutter is focused on the former 3 IMFs, but the latter 6 IMFs are pervaded by the energy of the sea clutter when the target appears, and the intrinsic mode energy entropy can describe the variational distribution of the energy when the target appears. So the intrinsic mode energy entropy is proposed to detect the weak target. Compared with the target detection method directly using the box dimension and the multi-pulses CA-CFAR (100 pulses) and the CFAR target detection method in frequency domain, the method proposed improves the detection performance of the weak target in the sea clutter distinctly. -
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