Anti-jamming communication decision engine based on Particle Swarm Optimization

To improve the scientific and efficiency of anti-jamming communication system, this paper design an in anti-jamming communication decision engine based on Particle Swarm Optimization for multiple parameters selecting adaptively. The procedure of the proposed method is presented. Simulation is made in six models, the results show that the decision engine can make the parameters select adaptively, which also enhances the constringency speed than those by Genetic Algorithm.