基于干扰重构和峭度最大化的SMSP干扰抑制方法

频谱弥散（SMSP）干扰是一种针对线性调频（LFM）信号的相参压制干扰。根据SMSP干扰子脉冲的周期特性，提出了一种基于干扰重构和峭度最大化的干扰抑制方法。首先，利用自相关方法估计干扰子脉冲的周期，并根据干扰的产生原理确定子脉冲调频斜率，即可重构相位未知的干扰子脉冲；其次，对重构的干扰子脉冲分别设定不同的相位，并与接收信号做共轭相乘，根据相乘的结果确定干扰信号的初相位；最后，利用峭度最大化原理，确定干扰抑制因子，实现干扰抑制。仿真结果表明，本文方法能够有效实现干扰抑制，经过干扰抑制后的信干比可达20 dB以上，并且在存在噪声和相位误差的情况下，仍能够保持较高的信干噪比增益。

SMSP jamming suppression method based on jamming reconstruction and kurtosis maximum

Smeared spectrum (SMSP)jamming is a kind of correlative blanket jamming to linear frequen-cy modulation (LFM)signals.According to the periodicity of SMSP jamming sub-pulse,a jamming suppres-sion method based on jamming reconstruction and kurtosis maximum is proposed.Firstly,the period of sub-pulse is estimated by utilizing the autocorrelation method,and the frequency modulation rate is computed based on the principle of SMSP jamming.Then we can reconstruct each jamming sub-pulse while the phase is still unknown.Secondly,each reconstructed sub-pulse is set with different phase,and then the conjugate mul-tiplication between received signal and reconstructed signal is done.The initial phase of jamming signal can be achieved by analyzing the result of conjugate multiplication.Finally,the jamming suppression factor is compu-ted based on the kurtosis maximum and then the jamming can be suppressed.The simulation results show that the proposed method can suppress SMSP jamming efficiently,the SIR can be more than 20 dB after jamming suppression,and it can maintain high signal-to-interference and noise ratio gain even when the noise and phase error exist.