基于云贝叶斯网络的无线通信干扰威胁评估方法

Wireless Communication Interference Threat Assessment Method based on Cloud Bayesian Network

为解决当前战场通信干扰威胁评估中干扰目标多、构成要素多、时限要求高、干扰评估难等问题,提出了云贝叶斯网络干扰威胁评估方法。首先,介绍了贝叶斯网络和云模型的概念、优势和特点,结合评估环境对象建立了贝叶斯干扰威胁评估指标体系;其次,讨论了对连续型数据的归一化处理方法,并运用正向云发生器实现定性概念和定量数值之间的转换;再次,通过贝叶斯网络推理完成了干扰威胁度的计算,提出了干扰威胁等级的确定方法;最后,采用仿真实例验证了该评估方法的可行性,达到了预期效果。

In order to solve the problems of current battlefield communication interference threat assessment,such as many interference targets,many components,high time limit requirements,and difficult interference assessment,a cloud Bayesian network interference threat assessment method is proposed.Firstly,the concepts,advantages and features of Bayesian networks and cloud models are introduced.A Bayesian Interference Threat Assessment Index System is established in conjunction with the assessment of environmental objects.Secondly,the normalization method for continuous data is discussed.A forward cloud generator is used to convert between qualitative concepts and quantitative values.Thirdly,the calculation of the interference threat degree is completed by Bayesian network inference,and the method for determining the interference threat level is proposed.Finally,the feasibility of the evaluation method is verified by simulation examples and the expected results are achieved.