Abstract:

The electromagnetic environment has become increasingly complex. In order to evaluate the complexity properly, a new method based on Back Propagation (BP) neural network is proposed. Firstly, the paper establishes range electromagnetic environment model, analyses the electromagnetic environment complexity evaluation index, in order to provide theoretical basis for quantitative evaluation. Secondly, we analyze the selection method of key parameters of BP neural network, and an example is used to verify the neural network function. Finally, the new method and the traditional evaluation methods are compared. Results show that the new method outperforms the traditional methods and realizes qualitative and quantitative classification of the electromagnetic environment in a realtime, fast and self adaptive way. It expands the application range of the traditional methods, and has practical value in studying the complex electromagnetic environment in real battlefield.

Key words: range;electromagnetic environment;back propagation(BP) neural network;complexity;convergence speed