一种有效的雷达信号快速识别方法

An Effective Method for Fast Recognizing Radar Signals

针对多种调制类型的雷达信号快速侦察识别成功率较低的问题,提出了基于瞬时频率特征提取的雷达信号快速识别新算法。首先,由短时傅里叶变换(STFT)得到信号每一部分的瞬时频率特征;其次,对得到的瞬时频率进行两次归一化分别得到各自特征值;最后,用层次决策方法对雷达信号进行分类识别。仿真实验结果证明该方法能有效识别各种雷达信号,在信噪比高于-3 dB时,各种脉内调制的识别成功率都达到90%以上。

Aiming at the problem of low success rate of radar signal detection and recognition,this paper pro-poses a new algorithm for radar signal recognition based on instantaneous frequency feature extraction. First-ly, the algorithm uses short time Fourier transform （STFT） to calculate every part of the s ignals instantane-ous frequency characteristic. Secondly,it calculates the once and twice normalized instantaneous frequency characteristic value. Finally,it uses hierarchical decision-making method to conduct radar signal classifica-tion. Simulation results show that the proposed method can effectively identify all kinds of radar signal. The recognition success rate is more than 90% when the signal-to-noise ratio （SNR） is higher than -3 dB.