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Research on Radar Emitter Signal Feature Extraction Method Based on Fuzzy Entropy

机译:基于模糊熵的雷达辐射源信号特征提取方法研究

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With the rapid application of the new radar system, radar signal sorting based on conventional parameters has not achieved the desired results. Therefore, new features need to be extracted for signal sorting. In response to this problem, the paper proposes to use the entropy theory to extract the fuzzy entropy characteristics of the radar signal to determine the uncertainty of the radar source signal. Experiments with test signals show that the fuzzy entropy characteristics are less affected by noise over a wide range of SNR.
机译:随着新雷达系统的迅速应用,基于常规参数的雷达信号分选尚未达到预期的效果。因此,需要提取新功能以进行信号分类。针对这一问题,本文提出用熵理论提取雷达信号的模糊熵特征来确定雷达源信号的不确定性。用测试信号进行的实验表明,在较大的SNR范围内,模糊熵特征受噪声的影响较小。

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