Phased-Array Radar Task Scheduling Method for Hypersonic-Glide Vehicles

Abstract

The radar task scheduling problem of phased-array radar (PAR) in detecting hypersonic-glide vehicle (HGV) targets has been studied. Based on the hypersonic-glide vehicle motion-model and detection model, a two-stage scheduling strategy was designed. Task scheduling is divided into two stages: prescheduling and formal scheduling. In the prescheduling stage, low-priority tasks beyond the radar resource capacity are sent into delay queues or delete queues in advance. In the formal scheduling stage, the quantization model of scheduling principles and the objective function of task scheduling are designed, and task requests are scheduled in parallel by using the group intelligence algorithm. A particle swarm-annealing algorithm was designed due to its ease of use and global search ability. The simulation results show that the proposed task scheduling method is superior to the traditional scheduling method in terms of the scheduling success rate, time utilization rate, realization value rate, task miss rate and discovery target number.

Keywords

• Hypersonic-glide vehicle (HGV)
• two-stage
• phased-array radar (PAR)
• task scheduling
• particle swarm optimization (PSO)
• annealing