信息战电子对抗中大数据引导通信优化仿真

Simulation of Communication Optimization under Guidance of Big Data in Electronic Countermeasures of Information War

在信息战电子对抗中大数据通信技术优化的研究中,由于在电子对抗时,海量数据忽然涌入网络会造成通信缓慢甚至瘫痪,是对抗中主要影响通信的方式。传统的解决办法多为增加信道容量或者屏蔽入侵数据源,其思路还是以后发性、被动性为主,没有利用现有资源对数据进行通信引导,存在较大应用制约性。为解决上述问题,提出一种大数据引导通信优化模型。建立信息战电子对抗中通信模型,在引导通信数据进入合理空余信道,完成通信大数据的最大化传递。通过计算通信过程中的单频干扰信号,针对大数据信号进行滤波处理,降低通信数据的误码率,有效引到数据有序通过信道。实验结果表明,利用改进算法进行信息战电子对抗中大数据引导下通信优化处理,能够降低通信的丢包率、延时率和误码率,同时提高信道的吞吐量,满足信息战电子对抗的实际需求。

In the papay, a communication optimization model under the guidance of big data was proposed. A communication model in electronic of information warfare was established, then communication data were guided into the reasonable spare channel, to realize the maximization transmission of communication big data. Through the calculation of single frequency interference signals in the process of communication, the big data signals were processed with filter, reducing the error rate of communication data and effectively guiding the data to orderly pass a channel. Experimental results show that using the improved algorithm for the communication optimization process under the guidance of big data in electronic countermeasure of information warfare, can reduce the packet loss rate, delay rate and error rate of communication, and improve the throughput of the channel, to meet the actual demand in electronic countermeasure of information warfare.