Research On Optimized Anti-jamming Deployment Model Of Rader Networks Based On Distributed Algorithm

Recently, as the rapid changes has been shown in the complex battlefieldenvironment and with the evolutionary development of the new weapons in modernwarfare, radar networking technology has become an effective means of radarcountermeasures to the so called "four threats". The primary issue of radar networkingtechnology is to reasonably deploy the radar networks based on the deploymentprinciples. And in terms of the “FT”, the radar networks anti-jamming technology hasbeen concerned as the top priority. Therefore, this paper attempts to carry out anin-depth research focusing on the anti-jamming radar networking optimizeddeployment for both models and the algorithms.First, a brief introduction about the radar networks, the optimization deployment,the basic concept of the "four threats" and the implementation principles has beenpresented. With the research priorities for this article in mind, it had given the radarnetwork anti-jamming performance analysis, through the performance analysis, we cansee the obvious advantages of the radar network’s anti-jamming performance undermagnetic interference.Secondly, this paper had introduced and discussed the radar’s performance undernon-interference, interfered and distributed interference environment respectively,through the analysis and discussion, we have given the principle of radar networkanti-interference optimization deployment, and then the deployment principles hadbeen quantized into index, thereby establishing a mathematical model, carrying out theoptimize deployment model of the anti-jamming radar network.Later, the game theory had been cited into this paper, with a brief introduction to thegame theory model itself, a classification of the game theory and the Nash equilibrium.Then by adopting the ideas and principles of the game theory into the anti-jammingradar networking optimization deployment model, it developed a distributed algorithmbased on the potential game.Finally, two distributed algorithms based on potential games are used to solveanti-jamming radar networking optimization deployment model. And analyticalexperiments and data results demonstrate that the proposed distributed algorithm canachieve Nash equilibrium, and the radar networking can also attain the optimaldeployment, thus obtaining the expected effect.