一种有效的雷达信号快速识别方法

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.

An effective method for fast recognizing radar signals

Aiming at the problem of low success rate of radar signal detection and recognition,this paper proposes a new algorithm for radar signal recognition based on instantaneous frequency feature extraction.Firstly,the algorithm uses short time Fourier transform(STFT) to calculate every part of the signal's instantaneous 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 classification.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.