Modeling air combat situation assessment based on combat area division

The beyond visual range (BVR) air combat has become one of the most important air modes of modern air combat. The whole airspace division was made base on advantages and disadvantages of regional area. Four specific airspace situations were put forward. A new model was set up combined situation assessment model and formation combat capacity model. Using principal component analysis (PCA) to select input variables of formation combat capacity model, which can reduce the complexity of collecting data. Combined neural network was used for effectiveness evaluation of BVR. Combine genetic algorithms (GA) with back propagation (BP) neural network, using GA's global to search optimized BP network structure parameters, overcome the local convergence and other issues of BP algorithm effectively. The result shows that the model can limit the artificial factors, making the solution more objective and creditable.