短波通信对抗侦察装备复杂电磁环境适应性试验方法探讨

Study on Genetic Algorithm Neural Network Electronic Countermeasures' Effectiveness Evaluation

在分析短波通信对抗侦察装备技术特点及应用模式的基础上,针对其复杂电磁环境适应性试验中需重点解决的复杂电磁环境构建、适应性试验评估等关键问题进行了探讨,可为进一步开展短波通信对抗侦察装备复杂电磁环境适应性试验相关问题研究提供参考。

This paper analyzes the basic principle and shortcomings of the BP neural network and produces network connection weights evolutionary algorithm based on the genetic algorithm. Furthermore, some effectiveness evaluation indexes and data processing methods are constructed to write a algorithm program by using the C programming language. The result shows that neural network has the characteristics of solving the complicated nonlinear problems, which is applicable to analyzing and evaluating the efficiency of electronic countermeasure. Meanwhile, the research strategy of effectiveness evaluation used in this paper can be taken as a reference to other evaluation researches like it.