调频连续波雷达信号调制方式识别算法研究

Algorithm for Identifying Modulated Modes of FMCW Radar Signals

提出了一种识别调频连续波雷达信号调制方式的算法。采用短时傅里叶变换得到信号的时频变化曲线,将信号调制方式的识别问题转化为周期性曲线类型的识别。对周期性曲线的频谱进行特征分析,根据谐波成分的差异,实现曲线类型的正确识别,进而得到信号的调制方式。仿真结果表明,该算法能够正确识别常用的调频连续波雷达信号的调制方式,而且在信噪比为-10 dB时仍然具有很好的性能。

The algorithm for identifying modulated modes of frequency modulation continous wave （FMCW） radar signals is presented. The time-frequency curve can be obtained by the short-time Fourier transform. The problem on identification of modulated modes is converted into the identification of the type of the periodic curve. Through characteristic analysis, the characteristic of the frequency spectrum of the periodic curve can be obtained. According to the difference between their harmornic components, the type of the periodic curve can be identi lied. Then the modulated mode of the signal can be confirmed. Simulation results prove that the method can identify the modulated modes of FMCW radar signals. And the algorithm has a good performance when the signal-noise ratio of the input signal is -10dB.