电子学报2025，Vol.53Issue(3)：744-753,10.DOI:10.12263/DZXB.20240656
基于系统成本函数优化的无人机辅助通感一体化系统数据调度、雷达预编码及飞行轨迹优化方法
System Cost Function Optimization-Based Data Scheduling,Radar Precoding and Flight Trajectory Design for UAV-Assisted Integrated Sensing and Communication Systems
摘要
Abstract
In this paper,the scenario of multiple antenna-unmanned aerial vehicle(UAV)-assisted sensing and com-munication is addressed.Target perception and user communication performance is comprehensively considered,and sys-tem cost function is defined as the weighted sum of system energy consumption and user data rate.The optimization prob-lem of communication and sensing scheduling strategy,perception precoding design,and UAV flight trajectory is formulat-ed as a constrained system cost function optimization problem.Due to the highly coupled and non-convex nature of the opti-mization problem,it is challenging to solve directly.To tackle this problem,the formulated optimization problem is decom-posed into three subproblems,i.e.,UAV flight trajectory optimization subproblem,communication and sensing scheduling subproblem,and radar perception precoding subproblem,and an iterative nested method is proposed to solve these subprob-lems.For UAV flight trajectory optimization subproblem,a markov decision process(MDP)is modeled,and a UAV trajec-tory optimization algorithm is designed based on double deep Q-networks.Given the state of the MDP model,the communi-cation and sensing scheduling subproblem is solved using Lagrange dual transformation and quadratic transformation methods,and the radar perception precoding subproblem is addressed through applying equivalent transformation approaches,i.e.,intro-ducing auxiliary variables and converting optimization constraints.Based on the obtained communication and sensing scheduling strategy and radar perception precoding,the reward function of the MDP model is updated and the UAV flight trajectory is determined,so as to achieve the joint optimization of communication and sensing scheduling,perception pre-coding design,and UAV flight trajectory.The effectiveness of the proposed algorithm is verified through simulations.关键词
无人机(UAV)/通信感知一体化/数据调度/轨迹优化/预编码Key words
unmanned aerial vehicle/integrated communication and sensing/data scheduling/trajectory optimiza-tion/precoding分类
信息技术与安全科学引用本文复制引用
柴蓉,王丙燕,孙瑞锦,景小荣..基于系统成本函数优化的无人机辅助通感一体化系统数据调度、雷达预编码及飞行轨迹优化方法[J].电子学报,2025,53(3):744-753,10.基金项目
国家自然科学基金(No.62271097) National Natural Science Foundation of China(No.62271097) （No.62271097）
