基于自适应布谷鸟搜索的RIS辅助无线定位系统  

Reconfigurable Intelligent Surfaces Assisted Wireless Positioning System Based on Adaptive Cuckoo Search

作　　者：彭鑫 李敏 曾慧林 聂础辉 黄逸桓 PENG Xin;LI Min;ZENG Huilin;NIE Chuhui;HUANG Yihuan(School of Information Science and Engineering,Hunan Institute of Science and Technology,Yueyang 414006,China)

机构地区：[1]湖南理工学院信息科学与工程学院,湖南岳阳414006

出　　处：《湖南理工学院学报（自然科学版）》2023年第1期28-32,共5页Journal of Hunan Institute of Science and Technology(Natural Sciences)

基　　金：湖南省教育厅科学研究项目(20C0879);国家大学生创新创业计划训练项目(20221265800X);湖南省大学生创新创业计划训练项目(S202212658015);湖南省研究生创新项目(QL20220248)。

摘　　要：可重构智能表面(RIS)是6G关键技术之一,可灵活部署在基站服务区域的内部,辅助基站定位,提高定位精度.针对RIS辅助毫米波多输入单输出无线定位系统,利用布谷鸟搜索算法(CS)求解极大似然位置估计函数.为了提高算法寻优能力,将CS算法的发现概率和搜索路径步长由固定值改为自适应变化的动态参数.实验结果表明,引入RIS辅助定位可以明显提高定位精度,自适应布谷鸟搜索算法(ACS)寻优能力高于布谷鸟搜索算法.Reconfigurable intelligent surface(RIS)is one of the key technologies of 6G,which can be flexibly deployed inside the base station service area to assist base station positioning and improve positioning accuracy.Aiming at RIS-assisted MMW multi-input single-output wireless positioning system,the cuckoo search algorithm(CS)was used to solve the maximum likelihood position estimation function.In order to improve the optimization ability of the algorithm,the discovery probability and search path step of CS algorithm were changed from fixed values to dynamic parameters with adaptive changes.The experimental results show that the introduction of RIS can significantly improve the positioning accuracy,and the optimization ability of the adaptive cuckoo search algorithm(ACS)is higher than the cuckoo search algorithm.

关 键 词：可重构智能表面 无线定位 极大似然估计 自适应布谷鸟搜索算法 

分 类 号：TN928[电子电信—通信与信息系统]