污染谱(SMSP)干扰是一种具有较高能量利用率、较好干扰效果的新型干扰,对现代新体制相参雷达具有很大的威胁。文中根据SMSP干扰调频斜率的分段特性以及与目标回波信号调频斜率的差异,提出了一种SMSP干扰的识别算法。首先,该算法基于离散匹配傅里叶变换实现了对干扰信号调频斜率的估计。其次,基于距离维的离散匹配傅里叶变换,采用先粗搜索再细搜索的两级步进搜索方法,快速精确地检测出SMSP干扰与真实回波信号脉冲前沿的位置。最后,将受到SMSP干扰的雷达回波信号作为仿真数据,仿真结果表明该方法可准确识别SMSP干扰。

Smeared spectrum jamming is a new jamming type what has high utilizable efficiency of energy and admirable interference effect. A SMSP jamming realization method is proposed in this paper, based on the segmentation character of the frequency rate of SMSP jamming and the different of frequency rate comparing to the echo of target. Firstly, the frequency rate of jamming signal is estimated using the discrete Match fourier transform (DMFT). Secondly, based on the DMFT of distance dimensionality and using the method of searching which is coarse searching earlier and then exactitude searching, the place of SMSP jamming and echo of target pulse is detected. Last,the real echo of target which has been disturb by SMSP jamming is used to emulate data, the simulation results indicate that this method can recognize the SMSP jamming effectively.