Abstract:

Distant support jamming formation is the first electronic jamming power of the air suppression group to support the fire suppression formation penetration, optimal deployment of distant support jamming formation will improve penetration effectiveness in the front section of the assault route of the air suppression group. However, the current research results have the problems of lacking in tactical background and indeterminate operational planning procedure of the air suppression group, the first situation leads that the results of the study become biased or wrong, the second situation leads that the results of the study become unusefulness as the constraints in the modeling process become incomplete and inaccurate. For the air suppression group’s operation, a threat model of radar detection based on the intelligence fusion rules of air defense warning radar network is built. A deployment decision making mode of distant support jamming formation is built, which takes the total detection threat of penetration route as the objective function. In order to solve the problems that the geometric resolution is difficult to solve the model and the binary-coded genetic algorithm leads to the low computation efficiency when solving the wide area and multi parameter function, a real-coded genetic algorithms based on the closed region detection of the binary image is designed. Finally, an example is given to verify the effectiveness and correctness of the model.