电子对抗跨波段虚假信号自适应消除方法

Adaptive Elimination Method of Cross-Band False Signal in Electronic Countermeasures

由于电子对抗环境中噪声的干扰,导致在虚假信号消除处理中难以精准找出其中的跨波段虚假信号,提出一种新的电子对抗跨波段虚假信号自适应消除方法。考虑到电子对抗环境中存在磁场、障碍物等干扰,利用中心极限原理查找干扰源,计算噪声在信道中的同相分量值,采用频带幅值滤除噪声和干扰。采用符号判决算法提取虚假信号和正常信号的特征表现状态,对信道中的不同状态值实施信号标记。利用稳态收敛算法计算正常信号与虚假信号的先验误差值,根据欧几里德范数求解二者间偏差量,再利用傅里叶变换方法转换虚假信号,实现信号消除。实验结果证明,所提方法对虚拟信号的自适应消除效果较好,电子对抗跨波段幅值波动得到了明显改善,且失调量低,具有一定的实用价值。

Due to the interference of noise in an electronic countermeasure environment,it is difficult to accurately find out the cross-band false signal from the process of false signal reduction.Therefore,a method of eliminating adaptive cross-band false signals in electronic countermeasures was proposed.Considering the existence of magnetic field,obstacles and other interference in the electronic countermeasure environment,we used the central limit principle to search the interference source and calculate the in-phase component of the noise in channels.And then,we used the frequency-band amplitude to filter out the noise and interference.Moreover,we used the symbol decision algorithm to extract the characteristic states of false signals and normal signals.Furthermore,we performed the signal marking on different state values.Finally,we calculated the priori error value between normal signals and false signals by the steady-state convergence algorithm.According to the Euclidean norm,we calculated the deviation between the two.Meanwhile,we converted the false signal by the Fourier transform method,thus realizing the signal elimination.Experimental results show that the proposed method has a good effect on adaptive elimination for virtual signals.And the cross-band amplitude fluctuation of electronic countermeasures has been significantly improved.In addition,the offset is low.This method has certain practical value.