为了提高脉冲星辐射脉冲信号辨识的效果和速度,提出了一种基于S变换的脉冲星辐射脉冲信号辨识算法。通过对脉冲星辐射脉冲信号的累积脉冲轮廓进行时频分析得出,在不同观测频率和不同信噪比的条件下,脉冲星累积脉冲轮廓S变换的时频分布图基本不变。基于这种稳定的时频特征,采用最小标准化欧式距离分离器对脉冲星信号进行辨识。实验表明,方法具有良好的抗噪性能,且识别率和运算速度均优于基于小波和双谱算法。
A new algorithm based on S-transform is proposed for accurately and fast recognizing the pulsars' signals in this paper. It is verified by simulation resuhs that the time-frequency distribution of pulsars' signal based on S-transform is basically invariant with different observed frequencies and signal-noise ratios. Based on these constant signatures, the minimum standardized Euclidean distance classifier is employed to classify pulsars' signals. Finally, the experimental results show that the proposed method has good noise immunity, higher recognition rate and fast processing speed.