Research On Uavs With Integrated Sensing And Communication System Based On Resource Allocation

Due to the limitation of single UAV resource and performance,group UAVs has attracted extensive attention for its high complexity,high continuity,high coverage and strong autonomy.But group UAVS pose the following problems: 1)group UAVs system generally adopts 900 MHz,1.4GHz,2.4GHz communication frequency band,which is open frequency band,so it is easy to be subjected to a variety of same frequency interference;2)When the group UAVs and base station use this frequency band to realize wireless communication,the information is easy to be intercepted;3)global positioning system(GPS)or beidou satellite positioning system is widely used in group UAVs navigation system,and its navigation and positioning accuracy is difficult to be guaranteed in complex electromagnetic or occlusion environment.Therefore,how to improve the joint performance of communication,navigation and positioning in group UAVs has become a prominent problem faced by group UAVs.Integrated sensing and communication(ISAC)system can have communication and sensing functions by sharing hardware,software and information resources.Based on the coordination of sensing and communication,the utilization efficiency of spectrum,hardware and software processing resources can be effectively improved and significantly reduce system costs.In this paper,the ISAC system is applied to group UAVs,and the method of resource scheduling is adopted to improve the joint performance of sensing and communication of group UAVs in complex environment.Through the research the ISAC system and safe communication at home and abroad,the ISAC system model of group UAVs in different complex environments is constructed and the corresponding resource allocation method is put forward to improve sensing and communication joint performance.This paper mainly aims at the following two issues:1)Resource scheduling optimization method for ISAC system of group UAVs in non-interceptor environment.Firstly,the ISAC system model of group UAVs is constructed for group UAVs sensing task:target detection and communication task: information sharing group UAVs,which mainly includes beam,spectrum and power.Secondly,a method of resource allocation based on reinforcement learning is proposed,and a closed loop system of reinforcement learning based on markov process is designed,including environment state,agent behavior and reward design.Finally,it is compared with the existing kuhn munkres(KM)iterative and deep neural network methods.Simulation results show that with the increase of the number of UAV and environment complexity,the proposed reinforcement learning method can achieve better performance than the deep neural network,and the complexity is much lower than the KM iterative algorithm.2)Resource scheduling optimization method for ISAC system of group UAVs in interceptor environment.Firstly,aiming at the sensing task of group UAVs: detection,location estimation and identification task of group UAVs,and communication task: covert communication task between group UAVs,the joint performance requirements of covert communication and sensing of group UAVs are proposed,and the ISAC system of UAV cluster is constructed,and a new effective communication objective function is defined.Then,a resource allocation method based on optimization model is proposed,in which the resources mainly include working frequency,bandwidth and power.Then,on the one hand,a resource allocation method based on reinforcement learning is proposed to solve the problem of working frequency point allocation;on the other hand,an optimization method based on water injection method and KM method is implemented to solve the problem of power resource allocation.Finally,the simulation results show that compared with random resource allocation,average resource allocation and complete reinforcement learning,the proposed method can effectively improve the joint performance of communication and sensing.