The Algorithm Of Sensor Management Based On Nonlinear Systems

The technology of multi-sensor information fusion uses many sensors to detect targets and obtain the information from many respects so that it can get better state estimate values than single target.It demands higher performance of sensor management methods for the requirements of modern war and increasing complexity of information fusion system.As an important part of data fusion system,sensor management has attracted researchers' great attention.Sensor management is an important part of information fusion.In the past most of sensor management methods mostly fuscous on linear system,actually nonlinear system is more commonly.The sensor management methods in nonlinear fusion system are seldom so this thesis researches the theories and methods of sensor management in nonlinear fusion system. The main works are as follow:1.The concept of information fusion is explained.Also the closed loop system of information fusion,system frame,function and the capability of every module are introduced of the relation of sensor management and information fusion.The necessary on the problem of sensor management and the development of sensor management studies are presented.This thesis researches fuscous on the theory of sensor management which includes the concept,the field of management,function, task and algorithm.2.Some filter algorithms are introduced,such as extended kalman filter(EKF), unscented kalman filter(UKF),and particle filtering(PF).Also the fields and characteristics are analyzed.3.Aiming at the resource allocation in nonlinear system,the thesis presents a method of sensor management based on unscented particle filter and information gain which get by information entropy,and depends on it to manage sensor resources.4.Aiming at the models of maneuvering objects are nonlinear,the thesis gives a new algorithm which combines the interacting multiple models with UKF filter algorithm,and depends on it and information gain which get by discrimination to manage sensor resources.