| 摘要: |
| 针对低信噪比条件下雷达信号识别算法对噪声敏感的问题，提出了一种基于三维特征的雷达信号脉内调制识别算法。该方法通过提取信号的差分近似熵、调和平均分形盒维数和信息维数特征组成三维特征向量，使用遗传算法优化的BP神经网络分类器实现雷达信号的分类识别。仿真结果表明，所提取的三维特征在信噪比为-4~10 dB变化范围内具有较好的类内聚集度和类间分离度，可以实现对不同雷达信号进行识别，证实了该方法的有效性。 |
| 关键词: 雷达辐射源信号识别 脉内特征提取 BP神经网络 遗传算法 |
| DOI： |
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| 基金项目: |
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| Intra-pulse modulation recognition of radar signal based on three-dimensional features |
| YANG Jie,YI Jiadong |
| (School of Communication and Information Engineering,Xi′an University of Posts and Telecommunications,Xi′an 710121,China) |
| Abstract: |
| For the problem that radar signal recognition algorithm is sensitive to noise under low signal-to-noise ratio(SNR),an intra-pulse modulation recognition algorithm based on three-dimensional features is proposed.The method extracts the difference approximate entropy,average fractal box dimension and information dimension feature of the signal to form three-dimensional features vector,and uses BP neural network classifier optimized by genetic algorithm to realize radar signal classification and recognition.The simulation results show that the proposed three-dimensional features have better intra-class aggregation and inter-class separation within the range of SNR from -4 dB to 10 dB,and can realize the recognition of different radar signals,which proves the effectiveness of the method. |
| Key words: radar emitter signal recognition intra-pulse feature extraction BP neural network genetic algorithm |
《电讯技术》编辑部 