摘要
为应对6G网络对高精度位置服务的迫切需求,构建智能无线环境已成为新兴的研究范式。作为实现智能无线环境的关键使能技术,智能反射面(IRS)在辅助无线定位方面的应用备受关注,并迅速成为研究热点。基于此,对IRS辅助无线定位的最新进展进行了综述研究。首先阐述其基本原理,包括系统架构、技术特点、定位流程、实现方法及性能评价指标;进而从节点规模、空间部署和定位特性等多个维度,对现有系统模型进行分类与剖析,并探讨了定位在通信感知一体化中的重要作用;随后梳理了相关信号处理方法,并总结了常用的优化算法;最后,展望了该技术未来面临的挑战与发展机遇。
To address the urgent demand for high-precision location services in 6G networks,the development of intelligent wireless environments has emerged as a new research paradigm.As a key enabling technology for creating intelligent wireless environments,Intelligent Reflecting Surfaces(IRS)have attracted significant attention for their potential in assisting wireless localization,rapidly becoming a research hotspot.This paper presents a survey on the latest advances in IRS-assisted wireless localization.The fundamental principles are first discussed,including system architecture,technical characteristics,localization processes,implementation methods,and performance evaluation metrics.The existing system models are then categorized and analyzed from various perspectives,such as node scale,spatial deployment,and localization characteristics,while emphasizing the important role of localization in the integration of communication and sensing.Following this,related signal processing methods are reviewed,and commonly used optimization algorithms are summarized.Finally,the challenges and development opportunities facing this technology are outlined.
作者
程卫军
黄振
马小雪
田辉
CHENG Weijun;HUANG Zhen;MA Xiaoxue;TIAN Hui(College of Information Engineering,Minzu University of China,Beijing 100081,China;State key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100086,China)
出处
《移动通信》
2025年第11期21-32,46,共13页
Mobile Communications
基金
国家自然科学基金资助项目“智慧矿山受限空间下智能反射面辅助的通信与定位技术研究”(52374169)。
关键词
智能反射面
无线定位
信号处理
人工智能
Jintelligent reflecting surface
wireless localization
signal processing
artificial intelligence
