基于干扰重构和盲源分离的混合极化抗SMSP干扰

线性调频（LFM）信号是现代雷达常用的发射信号，可以有效提高雷达距离分辨率和探测距离，然而频谱弥散（SMSP）干扰应用于主瓣自卫式干扰时，干扰信号与目标在时域、频域和空域高度重合，是一种能够有效对抗LFM信号的干扰样式。利用干扰信号与目标回波信号极化信息的差异，引入了混合极化雷达系统信号接收模型，提出了基于干扰重构和盲源分离的抗SMSP干扰算法，实现了对干扰的抑制。仿真结果表明:所提算法不仅降低了计算量而且在干信比（JSR）为25 dB的情况下，能够有效实现干扰抑制。 

Hybrid polarization anti-SMSP jamming based on jamming reconstruction and blind source separation

Linear Frequency Modulation (LFM) signal is a commonly used transmission signal of modern radar, which can effectively improve the range resolution and speed resolution. However, when Smeared Spectrum (SMSP) jamming is applied to the main lobe self-defense jamming, the jamming signal and the target height overlap in time domain, frequency domain and the airspace, which is an jamming pattern that can effectively combat LFM signals. In this paper, the difference of polarization information between the jamming signal and the target echo signal was used to construct a signal reception model of the hybrid polarization radar system. An anti-SMSP jamming algorithm based on jamming reconstruction and blind source separation was proposed to achieve jamming suppression. The simulation results show that the method proposed in this paper not only reduces the amount of calculation but also can effectively achieve jamming suppression when the jamming signal ratio is 25 dB.