Research And Implementation Of Collaborative Jamming System Based On Optimization Algorithm

Recently,with the fast progress of science and technology,electronic warfare is also becoming increasingly complex.In actual combat,we probably face with several or dozens of radars,therefore under the new operational environment collaborative jamming system arises at the historic moment.Although we take advantages of collaborative jamming system,our resources are limited.Therefore it leads to a problem that how to efficiently use the limited resources to gain a better jamming effect against our enemy.The collaborative jamming system in this paper is composed of jammers in the form of network,the system can not only improve our utilization of the jamming resources but also have a good jamming effect.We discuss how to make a strategy of collaborative jamming system and evaluate the jamming effects through the theoretical basis of the commonly used evaluation rules,and realize it on the hardware platform.In this article we first study the background and significance of researching collaborative jamming system,and the development of jamming effect evaluation and making jamming strategy.Through the study of the existing evaluation rules and membership functions and the simulation of the various factors,we use a new jamming effectiveness evaluation membership function based on the above rules and membership functions,subjective weighting method is adopted for weighting each membership function,and finally formulate a jamming efficiency matrix synthesizing each weight of membership function.Adopting the improved dynamic programming algorithm,the improved adaptive genetic algorithm(IAGA)and the particle swarm optimization(PSO)algorithm and using the objective function which to gain the optimal value of jamming efficiency for interference to solve the problem of making strategies of the collaborative jamming system.Through the simulation of the theoretical algorithm verify its feasibility,and because this topic from the actual project,we realized the strategy on the hardware platform,and has achieved a good jamming effect.