Research Of Structure And Planning Of Aircraft-fleet Kill Chain Based On Cubic Network Model

Since ancient times,war has been the most intense manifestation of human activities,and has been regarded as the top priority by all ethnic groups.In recent years,offensive and defensive drill technologies have emerged in various countries,and the battlefield environment has become more elusive.Joint mission of aircraft-fleet has become an important mode of modern local warfare.Then the coordinated joint attacking mission of multi-aircraft fleet centered on AWACS,Airborne Warning and Control System,is an important tactic of air offensive and defensive warfare.In order to coordinate operations in a complex battlefield environment,the aircraft-fleet kill chain came into being as the principle of planning.However it is the core and difficult problem to use the kill chain well and conduct command planning around the mission.This paper studies the actual needs of the aircraft-fleet kill chain planning,improves the interaction model between the military operations segment and the flight platform,and proposes an effective planning method.The main innovative work is as follows:(1)Proposing a cubicl network model structure of the kill chain.Inspired by the US military’s multi-domain warfare concept and combined with my country’s national conditions,this article follows the concepts in complex network science to classify flight platforms according to the responsibilities of command,sensing,and attack.The aircraft-fleet kill chain,including the six segment sequence of find,fix,track,target,engagement and assess,is mapped hierarchically according to the "mission domain-communication domain-physical domain" to realize the decoupling of planning.Based on this mapping,the mathematical model of kill chain planning is established,and its operational planning requirements are mapped into complex optimization issue.In order to integrate the planning results of the three "mission domain-communication domain-physical domain" horizontal layers,an innovative "alternative-gateway" vertical layer network is proposed,which lays the foundation for subsequent planning algorithms.(2)Using the ant colony algorithm to realize the single-kill chain planning of single class platform of the cubic network model,and combined with the topological sorting,this paper proposes the multi-hormone ant colony algorithm to solve the multi-kill chain planning problem.This article serializes the parallel situation of multiple kill chains in the battlefield to resolve conflicts.According to the requirements of bi-directional selection between multi class platform and multi segment and vertical layer network,the heuristic function is improved,the ant selection and movement strategy is modified,and the information hormone is updated by using the strategy of selecting elite group and specifying the upper limit of hormone update for each class,so as to improve the premature defect of the algorithm.Finally,the alternative nodes are determined to realize the vertical network data collection.Through the above steps,a feasible scheme is planned to meet the real mission requirements.(3)This article clarifies the robustness,risk,and sensitivity attributes between segments and flight platforms,and then integrates the network topology characteristics such as spectral radius and network entropy as evaluation indicators.The feasibility and effectiveness of the algorithm in simulation and operational scenario data are verified through design experiments.Compared with the typical quantum particle swarm algorithm,the multidimensional radar chart visualization shows the performance of the proposed algorithm under different problem scales.In summary,this paper studies the structure and planning of the aircraft-fleet kill chain based on the cubic network model,and proposes a whole process solution from problem modeling,planning process to analysis and evaluation,which has important application value for the implementation of kill chain planning.