对空时自适应技术的卷积调制干扰研究

Research on Convolution Modulation Jamming for STAP Technology

空时二维自适应处理(STAP)技术具有卓越的抑制杂波和抗干扰性能,常规的干扰手段难以对其产生理想的干扰效果。研究了机载雷达STAP系统的信号模型,提出了一种基于收发分时体制的卷积调制干扰方法。该方法首先对截获到的雷达信号进行间歇采样并进行存储,然后将读出的信号与存储的噪声进行卷积调制,最后将得到的干扰信号延时叠加转发。理论分析表明该干扰方法能产生幅度随机起伏且间隔随机分布的假目标群,破坏了训练样本独立同分布的条件,造成STAP系统性能下降。计算机仿真结果验证了该干扰方法的有效性。

Space-time adaptive processing(STAP)technology brings forward severe challenge to electronic countermeasure for its excellent performance of clutter-suppression and anti-jamming.This paper firstly studies the signal model of airborne radar STAP system,and then proposes a convolution modulation jamming algorithm based on transmit/receive time-sharing.In this algorithm,the jammer starts intermittent sampling when it receives radar signal,then gains the convolution result from the noise and the output radar signal as convolution factors,finally postpones and transmits the jamming signal.The analysis shows that this jamming algorithm can generate false targets with random amplitude and interval,break the IID conditions of training samples and decrease STAP system’s performance.The simulation results show the effectiveness of this jamming algorithm.