Abstract
A multi-sensor-system cooperative scheduling method for multi-task collaboration is proposed in this paper. We studied the method for application in ground and . The aim of is to select the optimal sensors to complete the assigned combat tasks and obtain the best combat benefits. First, an model was built, and the method of calculating the detection risk was proposed to quantify the detection benefits in scheduling. Then, combining the information on and the , a ground model was established, in which the posterior Carmér-Rao lower bound was applied to evaluate future tracking accuracy. Finally, an objective function was developed which considers the requirements of detection, tracking, and energy consumption control. By solving the objective function, the optimal sensor-scheduling scheme can be obtained. Simulation results showed that the proposed sensor-scheduling method can select suitable sensors to complete the required combat tasks, and provide good performance in terms of , , and energy consumption control.