Abstract: In order to improve the signal-to-noise of the pulsar signal，an algorithm of pulsar signal de-noising based on Empirical Mode Decomposition（EMD） is proposed.EMD method decomposes pulsar signal into a group of Intrinsic Mode Functions（IMF）.Aim to the problem that the effect of EMD threshold de-noising is unstable，when IMF is de-noised，variance of near signal is used to obtain the level of noise，and adaptive threshold is used.Signal with noise is de-noised with low pass filter.The simulation results show that compared with EMD threshold de-noising，the proposed algorithm can achieve higher SNR and be stable.

Key words: pulsar, Empirical Mode Decomposition（EMD）, de-noising

摘要： 为了提高脉冲星辐射信号的信噪比，提出了一种基于经验模态分解（EMD）的脉冲星信号去噪算法。利用经验模态分解将信号分解为一组固有模态函数（IMF）。针对EMD阈值消噪算法性能不稳定这一问题，该算法滤除固有模态函数噪声时，利用相邻信号标准差作为噪声水平的判断准则，并采用自适应阈值，对于噪声含量较高的信号采用低通滤波器消噪。实验结果表明，与EMD阈值消噪方法相比，该算法能获得更高的信噪比，并具有较好的稳定性。

关键词: 脉冲星, EMD, 消噪