Uncertain Hybrid Multi-Sensor Alliance Dynamic Control Problem Using an Uncertain Ideal Point Approach Under the PEV Principle

Multi-sensor alliance has been the main means of gathering intelligence information in the complex battlefield environment. This paper investigates uncertain multi-sensor alliance dynamic control problem, which is a major concern in sensor management. Unlike earlier studies, the explored model explored here is based on uncertain circumstances instead of certain circumstances, and constructed which is established under the constraints of sensor tracking ability in order to improve the sensor resource utilization and target tracking accuracy. Specially, this uncertainty model is converted to a certainty model by using an uncertain ideal point approach under the PEV principle instead of the traditional solution approach. Also, the prediction and re-prediction mechanism is proposed to realize the dynamic control of the sensor alliance updating. The proposed methodology possesses high solution quality and a low computational cost; it also reduces the tracking errors of the target in uncertain battlefield environments when. Finally, simulation results are provided to demonstrate the feasibility and effectiveness of the proposed approaches.