基于盲分离的伪码引信欺骗干扰抑制算法

Fraudulent Interference Suppression Algorithm Based on BSS for PN Fuze

针对伪码引信工作中存在的欺骗性干扰问题,提出了基于盲分离技术并用于伪码引信抗干扰的方法。建立了信号分离模型,使之符合盲分离要求,并理论推导了信号的可分离性。随后利用盲分离算法分离混合信号,对分离开的信号分别进行互相关分析以确定出时间延时,并根据时间延时变化量最终滤除干扰。通过计算机仿真,验证了所提出算法具有良好的抗干扰效果,同时也证明了算法原理的正确性。

Aiming at the fraudulent interference of PN fuze,a new method based on blind source separation （BSS）was proposed to anti-interference.The signal’s separation model was established to be accord with the BSS’s requirement,and it proved that there was no correlation between PN fuze’s echo signal and fraudulent in-terference when their time delay were not the same.After that,the time delay were fixed from the separated signals using time cross-correlation,and the interference was suppressed using time delay variation.The experi-ments results indicated that this method had good ability to suppress jamming,and also the principle was proved right,so this algorithm could be a powerful reference for fuze anti-interference.