基于小波变换的雷达信号调制类型识别方法

为适应复杂环境下雷达信号脉内分析的需要，提出一种脉内调制类型识别方法。基于Morlet小波变换提取信号小波脊线，根据瞬时频率和最佳尺度的关系得到时频曲线，基于时频曲线的形状识别脉内调制类型。构造时频分辨率调节函数，优化小波脊线提取过程，提出形状识别算法，达到提高识别准确率、降低计算量的目的。仿真结果表明，信噪比为3 dB时，该算法的识别准确率在98%以上，信噪比为1 dB时，识别准确率能达到70%以上。

Method of Radar Signal Modulation Type Recognition Based on Wavelet Transform

A new method of in-pulse modulation recognition is proposed to meet the in-pulse analysis’ needs under the complex electromagnetic environment. The wavelet ridge is extracted by Morlet wavelet transform. The time-frequency curve is gotten according to the relation between instantaneous frequency and optimal scale. The pulse modulation is recognized by analyzing its shape. The new idea includes creating the time-frequency resolution adjustment function, optimizing the wavelet ridge extraction process and proposing the recognition algorithm based on the curve’s shape. It improves the accuracy and reduces the calculation. Simulation result shows that, when Signal-to-Noise Ratio(SNR) is 3 dB, the lowest rate of recognition accuracy can reach 98%, when SNR is 1 dB, it can also reach 70%.