基于高斯白噪声训练的转发式干扰机自干扰对消技术

Self-Interference Cancellation Technology of Repeater Jammer Based on Gaussian White Noise Training

为了解决转发式干扰机信号自干扰的问题,提出了一种基于高斯白噪声的训练方法,利用高斯白噪声的宽频带特性,对适用于此信道的滤波器系数进行估计。首先,对高斯白噪声的维纳解进行阐述和分析,通过分析可知利用具有一定带宽的高斯白噪声求出的维纳解同样适用于经过相同信道的自干扰信号;其次,用此方法设计了一套训练模式和工作模式的干扰机系统;最后,对其进行FPGA实现,并采用了不同干扰样式进行实验。根据仿真和实验结果表明,此套方案可以解决自干扰信号和侦察信号叠加时,相干性太强而导致的误消除问题。

In order to solve the problem of signal self-interference of repeater jammer,a training method based on Gaussian white noise is proposed.Using the broadband characteristics of Gaussian white noise,the filter coefficients suitable for this channel are estimated.Firstly,the Wiener solution of Gaussian white noise is described and analyzed.Through the analysis,it can be seen that the Wiener solution obtained by using Gaussian white noise with a certain bandwidth is also suitable for self-interference signals passing through the same channel.Secondly,a set of jammer system with training mode and working mode is designed for this method.Finally,it is implemented on FPGA,and experiments are carried out with different interference styles.The simulation and experimental results show that,this scheme can solve the problem of false elimination caused by too strong coherence when self jamming signal and reconnaissance signal are superimposed.