重庆邮电大学学报（自然科学版）2026，Vol.38Issue(2)：232-243,12.DOI:10.3979/j.issn.1673-825X.202503310066
ISAC中基于UAV与IRS辅助的感知性能优化方案
Optimization scheme for perception performance based on UAV and IRS assisted ISAC
摘要
Abstract
In integrated sensing and communication(ISAC)systems,when a base station cannot establish a reliable direct link with sensing targets,system performance is significantly degraded.To address this issue,this paper proposes a sensing performance optimization scheme assisted by unmanned aerial vehicles(UAVs)and intelligent reflecting surfaces(IRS).The UAV acquires information from ground nodes through line-of-sight links and IRS-reflected links,and then forwards the information to the base station.During the entire flight period,under the constraint that the sensing performance and communication rate for each node exceed predefined thresholds,the proposed scheme jointly optimizes UAV task scheduling,transmit power,trajectory,and IRS phase shifts to maximize overall sensing performance and data rate.The resulting non-convex optimization problem is decomposed into four subproblems,which are solved iteratively using successive convex approximation and relaxation methods to obtain a suboptimal solution.Simulation results demonstrate that the proposed optimization scheme effectively maximizes both sensing performance and communication rate,and further confirm that IRS can significantly enhance the sensing capability of UAVs.关键词
无人机/通感一体化/智能反射面/交替优化Key words
unmanned aerial vehicles(UAV)/integrated sensing and communication(ISAC)/intelligent reflecting surfaces(IRS)/alternating optimization分类
信息技术与安全科学引用本文复制引用
刘杭,朱江..ISAC中基于UAV与IRS辅助的感知性能优化方案[J].重庆邮电大学学报（自然科学版）,2026,38(2):232-243,12.基金项目
重庆市科技局重庆市自然科学基金项目(CSTB2023NSCQ-LZX0079) Chongqing Municipal Natural Science Foundation Project of Chongqing Municipal Science and Technology Bureau(CSTB2023NSCQ-LZX0079) （CSTB2023NSCQ-LZX0079）
