The new aerospace ground TT&C equipment adopts the virtual resource pool architecture and container cloud technology to carry out on-demand scheduling of measurement and control resources and generation of measurement and control business capabilities. The resource pool system contains a wide variety of heterogeneous resources, for which the signal processing resources are task-oriented scheduling requirements, this paper designs a signal processing resource scheduling strategy based on multilevel queue optimization for the resource pool, which aggregates the resources for management and unified allocation, and allocates and schedules them according to the task requirements in a hierarchical and optimal way to ensure the high availability of the resource pool system and the high utilization rate of resources.