雷达脉内调制方式的自动识别

为解决雷达信号分选中雷达脉内调制方式的自动识别问题，用一种新的时频图像简化算法来提取特征向量，随后利用支持向量机对提取的特征向量进行分类识别。首先从图像中提取包含有效信息的像素点，然后求出每一列像素点的中心点，最后对所有中心点进行相同长度的采样直接将图像转化为曲线，大大减少了特征维数。仿真实验结果验证了该算法对雷达信号的脉内调制方式识别具有较高正确率，并有一定的抗噪性，且在较低信噪比条件下仍然保持较高的正确率。

Automatic recognition of radar pulse modulation

In order to achieve the automatic recognition of the pulse modulation of radar, a new method to simplify the figure of the results of time-frequency analysis to extract features was proposed, and then Support Vector Machine (SVM) was used to sort them according to the features. Firstly, extracted the points with useful information; secondly, found the center of each column of useful points; lastly, sampled these centers at the same length, so the figures were transformed to curves with the same length, and the dimensions of the feature of SVMs had been sharply decreased. The simulation results show that the pulse modulation of radar can be recognized with a high accuracy by the algorithm of this paper. Additionally, this method can tolerate the noise, and the accuracy can be kept at a high level while the SNR (Signal-to-Noise Ratio) is low.