Task Scheduling Algorithm for Multifunctional Integration System Based on Dynamic Aperture Partition Antenna

Integrated radar and communications (IRC) waveform can be applied to perform radar and communication tasks simultaneously in a multifunctional integration system (MFIS). In order to solve the task scheduling problems of MFIS based on dynamic aperture partition antenna, a novel adaptive task scheduling algorithm based on IRC waveform is proposed in this paper. Firstly, the task scheduling optimization problem is established under the conditions of two-dimensional time and aperture resource constraints after establishing the multi-task models. Secondly, the proposed adaptive task scheduling algorithm makes use of the special IRC waveform characteristics of MFIS, function of time window of task and aperture resource to achieve the different kinds of tasks scheduling effectively. Finally, the simulation results show that the proposed algorithm increases the successful scheduling ratio and resource utilization ratio compared with the traditional multiple task parallel scheduling algorithms.