该算法首先提取雷达波形AF主脊切面包络和最大旋转角；然后提取AF主脊切

Firstly extraction radar waveform AF main ridge cutting enveloping and a maximum rotation angle; then extracted AF main ridge cutting enveloping features, including feature dimension and the resemblance coefficient characteristics, and the combined maximum rotation angle characteristic structure feature set; Finally, select and classifier optimization using a tree structure based on the process optimization tools radar waveform classification.

The algorithm first extracts the main ridge cut bread and the maximum rotation angle of the radar waveform AF, then extracts the AF main ridge cut bread feature, including the dimension feature and the likefactor feature, and combines the maximum rotation angle feature to form the feature set, and finally, selects and optimizes the classifier, and uses the process optimization tool based on tree structure to achieve the radar waveform classification.

The algorithm first extracts the envelope and the maximum rotation angle of the AF main ridge section of the radar waveform; then extracts the envelope features of the AF main ridge section, including the dimension features and the image coefficient features, and combines the maximum rotation angle features to form the feature set; finally, selects and optimizes the classifier, and realizes the radar waveform classification using the flow optimization tool based on the tree structure.<br>