Cognitive cooperative-jamming decision method based on bee colony algorithm

For the future information warfare, a single jamming mode is not effective due to the complex electromagnetic environment. With the rapid development of cognitive radio technology, collaborative jamming based on cognitive radio, namely cognitive jamming, has attracted wide attention in the field of electronic warfare. In collaborative jamming, the problem of decision-making based on collaboration becomes one of the key issues. Traditional decision-making based on ant colony algorithm takes too many iterations, which cannot always ensure the probability of optimization. Against the issue, this paper proposes a cognitive cooperative-jamming decision method based on bee colony algorithm, which searches the global optimum solution according to the process of the honey bee group looking for high quality sources. In the case of lack of prior condition, the proposed algorithm generates fitness function according to jamming effect. Then by the rule of greed, jamming decision matrix is decided according to jammer task allocation form. The role of bees in the proposed algorithm are changed between collection and observation, which is benefit to improve the convergence speed. By this way, it can improve the speed of convergence and find an optimal decision making scheme in the scenario with multiple jammer and multiple radar. Simulation results show that the proposed decision-making method can find the optimal decision scheme with the best jamming effect and has a fast convergence speed comparing with decision-making based on ant colony algorithm. The application of bee colony algorithm in the field of cooperative-jamming decision provides a new idea for jamming decision making.