对基于多重信号分类算法测向的干扰方法研究

Research on Interference Method for Direction Estimation of MUSIC Algorithm

针对我方雷达易受到敌方大规模强干扰的问题,从"进攻性反侦察"的角度提出了针对敌方电子支援侦察系统的干扰方法。首先分析了侦察系统中多重信号分类算法(MUSIC)的测向估计原理,在此基础上针对基于MUSIC及其解相干算法的测向方法,提出窄带噪声干扰及相干干扰的干扰方式。仿真结果表明,窄带噪声及相干信号均可使MUSIC算法的估计性能大幅下降,同时高强度的相干干扰还可形成具有欺骗性的假目标,从而导致敌方电子支援侦察系统无法准确获取我方雷达所在方位,保证了我方雷达的正常工作。

In response to the problem that radar is susceptible to large-scale strong interference from the enemy,an interference method against the enemy’s ESM system is proposed from the perspective of offensive counter-reconnaissance. Firstly,the principle of direction estimation of multiple signal classification algorithm( MUSIC) in reconnaissance system is analyzed. Besides,a method of interference based on narrow band noise and coherent interference is proposed for the direction finding method that is based on MUSIC and its decoherence algorithm. Simulation results show that both narrow-band noise and coherent signals can significantly reduce the estimation performance of the MUSIC algorithm. At the same time,high-intensity coherent interference can also form deceptive false targets,causing the enemy ’s ESM system to fail to accurately obtain the position of radar,which can ensure the normal operation of radar.