Research on Force Assignment of Radar Jamming System based on Chaos Genetic Algorithm

In the battle of anti-air attack, the troops have to carry out the electronic jamming by integrated using of electronic measures in order to weaken the airborne Radar detection ability for the enemy. The allocation of jamming arms plays important role in influencing the jamming benefit directly. In this paper, we propose an arms allocation model for Radar jamming system based on the chaos genetic algorithms by thinking of the characteristic of anti-air battle. By loading the chaos variable to the variable group of Genetic Algorithms and laying a tiny disturbance using the chaos variable on the filial generation group and adjusting the jamming arguments when evolving the searching, we enhance the partial searching ability for the new algorithm, moreover, making the algorithm global optimality. Simulation shows the algorithm can solve the complex and difficult problem for the arms allocation with Radar jamming system effectively.