Study Of Synergy Theories And Methods To Air Task Networks

With the development of multi-sensor and information fusion technologies,more and more sensors are incorporated in military equipments to participate in the collaborative combat.No double networked and intelligent would be the development trends for modern military,and the networked collaboration operation becomes the main implementation method of combat missions.The deployment of multiple sensors can get more multi-source combat information,which ensures the data advantage of command and control center on the battlefield perception.Information fusion technology is a kind of data processing tool,which can address the data fusion problem of different sensors,and improve the performance of target detection and tracking.So far,it has become the study focus of academic and engineering fields.However,as the numbers of sensor and target increase,the complexity of information fusion system is increased.As a result,it puts forward higher requirement to information fusion tracking structure optimization.Moreover,because of the time-varying characteristic of target tracking situation,the performance of tracking system is unstable.In the study of collaborative air combat,air combat threat assessment belongs to the data fusion of decision level,it is the premise and basis of collaborative multi-target combat,and it is the basis of combat decision,so the accuracy of threat assessment model related to the level of combat effectiveness.Thus,aiming at the above problems,how to assess the air combat target threat accurately and build the reasonable assessment elements system and assessment model,how to optimize the tracking fusion structure in the target tracking process,and make the sensors to complete the target tracking task in a mutual collaborative structure,which have become the focus of target tracking fusion system studies.In this paper,on the basis of previous works and according to the requirements of the actual research projects,our goals are to improve the accuracy of air combat threat assessment and the stable performance of collaborative target tracking system,we focus on the build method of threat assessment model and the optimization method of multi-sensor target tracking fusion structure.The main contents of this paper are as follows:(1)Study the problem of designing the air combat situation assessment model.Aim at the problems of that the existing threat assessment system is incomplete and the assessment project is inaccurate,an improved evaluation model is proposed based on the analysis of internal and external environmental factors,and use multi-method to solve the improved model and compare the results.(2)Study the problem of choosing target tracking fusion structure.The traditional signal fusion structure is made of centralized fusion nodes or distributed fusion nodes,that the system has the best performance in one aspect.But it is not available for using in the systems which required balanced performance.The hybrid fusion integrates advantages of centralized and distributed fusion,which makes the system performance adjustments are more flexible.Hybrid fusion can be divided into fixed hybrid fusion and flexible hybrid fusion.In this paper,we analyze and compare the three fusion methods in detail,and highlight the applicative advantage of flexible hybrid fusion structure.(3)Focus on the achievement method of flexible hybrid fusion structure algorithms.First,we do the quantitative analysis of tracking accuracy and system survivability indexes.And use the convergence expectation of estimate error covariance as the measure standard of target tracking accuracy index.Then,make the target tracking accuracy as the optimization objective,to build the optimization model of flexible hybrid fusion structure dynamic sensor management.Last,some simulations have been done to indicate the feasibility of the designed model.