Air-ground Based Small Unmanned Platform Battlefield Situation Support Problem Research

With the development of modern warfare in the direction of unmanned and intelligent,the use of small unmanned platforms with multiple sensors for battlefield situational support has the advantages of strong flexibility,good real-time,and wide coverage,which is of great significance in promoting the development of mechanization,informatization,and intelligent integration of army construction.The paper addresses the current problems of limited performance and poor support effect of a single unmanned platform,takes the ground combat battlefield situational support needs of the Army’s synthetic brigade as a traction,gives full play to the advantages of collaborative use of air-ground small unmanned platforms,and carries out research with the goal of improving the force’s battlefield situational support capability,mainly including the following.1.On the basis of in-depth analysis of domestic and foreign research in related fields and concepts related to battlefield situation support,I analyzed the characteristics and demand features of battlefield situation support for the ground combat style and combat phase of the Army’s synthetic brigade,and conducted a systematic analysis and summary of the battlefield situation support needs of the synthetic brigade adapted to the characteristics of our army through field research,questionnaire surveys and participation in relevant combat training activities,etc.,which provided a general driving force for The thesis provides a general driving force for the subsequent research.2.Starting from the need to enhance the systemic and systematic battlefield situational security of air-ground small unmanned platforms for the Army’s synthetic brigade,we designed a support process design idea and specific plan with the goal of "clarifying the support links,defining the support focus,sorting out the relationship between the support elements,and determining the key technical requirements for the support",which provides a reference for the battlefield situational security based on small unmanned platforms.It also provides a general outline and basis for the subsequent technical research of the thesis.3.To meet the needs of the key technology of multi-UAV tasking in the support process,a user satisfaction-driven multi-UAV tasking method is proposed.Firstly,user satisfaction is defined as the difference between the quality of situational assurance actually experienced by the commander and the psychological expectation,and a user priority-driven satisfaction model is constructed considering that the commander has different service priorities;then the multi-UAV task assignment problem is modeled as a multi-constrained combinatorial optimization problem,and the optimization objective is to maximize the satisfaction of the commander when receiving the required information,while minimizing the total energy consumption of the multi-UAV;considering that the problem has NP-hard characteristics,a multiple swarm collaborative genetic algorithm is designed to solve the above problem;the correctness of all intermediate steps and the effectiveness of the algorithm are verified by simulation analysis.The new method is of positive significance to meet the situational awareness needs of commanders,improve the satisfaction level of commanders in obtaining information and enhance the effectiveness of command decisions.4.To address the problem of effective fusion of potential conflict information from multiple sources in the support process,a customized high conflict evidence combination method based on D-S evidence theory is proposed.Firstly,a composite discount factor calculation method that integrates the credibility of the target identification subject(UAV/UAV)and the degree of inter-evidence support is designed,and a result refinement mechanism is introduced;then the application process and decision basis of the method are given for easy integration into the automated target identification system;the superiority of the new method is verified through simulation analysis.The new method is beneficial to reduce the decision-making burden of the security forces,improve the scientific nature of the intelligence integration work,and reduce unnecessary repetitive reconnaissance.