Electromagnetic Spectrum Allocation Method In Complex Battlefield

Electromagnetic spectrum resource plays a very important role in modern warfare,shouldering the tasks of electromagnetic communication,reconnaissance and detection,navigation and positioning among various combat electronic equipment.The ever-increasing demands for the electromagnetic spectrum will lead to an increasing problem of spectrum conflicts.In order to have better operational utility and obtain electromagnetic control of information warfare in electromagnetic spectrum warfare,we need more efficient spectrum planning and allocation methods.In response to the above problems,the main contents of this article are as follows:In the field of the war,the evaluation of the electromagnetic spectrum allocation method is very complicated.In order to meet the multi-level combat needs in modern warfare,this paper proposes the target criteria for spectrum allocation.This paper introduces the concept of cumulative interference in response to the problem of extreme frequency impact caused by superimposed interference from each node to the central node.Since the existing algorithms do not systematically consider the defects of the cumulative interference between devices,this paper proposes a multi-node spectrum allocation algorithm for cumulative interference based on the interference analysis method in graph theory and the interference temperature model.By introducing the analysis method of linear programming,the algorithm guarantees the absolute frequency safety of the central equipment at the cost of minimum distribution benefit.The algorithm can complete spectrum allocation for all devices in the absolute independent set at one time.In the simulation environment in this paper,the ratio of the allocated device number and the sum of the distribution benefits index are both better than LCFA and LCGA.By setting the fairness function,the algorithm’s imbalance factor index is significantly reduced when compared to the previous situation.In general,the algorithm ensures a certain distribution fairness and reasonable time complexity while obtaining higher spectrum allocation efficiency and device access volume.Therefore,the algorithm has certain practical value.In order to change the complex spectrum allocation targets more flexibly and intelligently complete the spectrum allocation tasks in the operational environment,the paper also explores a multi-node spectrum allocation method based on the deep Q network algorithm.Through the effective design of the system model in a specific battle environment,the reasonable designing of return values and related hyperparameters,and the establishment of a network training framework,the basic convergence of Q network training and the gradual optimization of spectrum allocation benefits are finally achieved.In the simulation environment,the sum spectrum allocation benefit index is better than the cumulative interference allocation algorithm and color-sensitive graph theory coloring algorithm.Through related simulation and analysis,the proposed method has better performance than the comparison algorithm in terms of tne number of allocated devices and time complexity indicators.