| 摘要: |
| 在目前“万物互联”的大背景下，高精度定位技术是众多应用发展的基础，也是通感一体化技术重要的研究方向。考虑结合可重构智能表面（Reconfigurable Intelligent Surface，RIS）技术，将其作为透射阵列加入定位模型中，在RIS辅助下实现对目标源进行位置估计。同时将单个RIS透射阵列模型拓展至两个RIS构成的分布式阵列模型，构建了信号模型、信道模型以及系统模型。评估了不同的信号发射功率以及不同的阵元个数对RIS作为透射阵列辅助下的定位性能的影响，并提出一种异面直线最短距离的几何定位算法对目标源位置进行仿真估计。仿真结果表明，所提出的分布式RIS作为透射阵列辅助定位的模型和算法的定位效果较优于现有研究中单个阵列模型下的定位效果，其中仿真中单个位置平均定位误差下降了约70%，位置解算时间约为单个阵列模型耗时的25%。 |
| 关键词: 位置估计 近场定位 可重构智能表面（RIS） 透射阵列 分布式阵列 |
| DOI：10.20079/j.issn.1001-893x.240228004 |
|
| 基金项目:重庆市自然科学基金创新发展联合基金（中国星网）（CSTB2023NSCQ-LZX0114） |
|
| Near-field Positioning Assisted by Distributed RIS Transmissive Arrays |
| WANG Dan,XU Xin,WANG Jiacheng,LIU Zuo |
| (School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China) |
| Abstract: |
| In the current context of the “Internet of Everything”,high-precision positioning technology is the basis of many applications and development,and it is also an important research direction of integrated sensing and communication(ISAC) technology.Therefore,it is considered to combine reconfigurable intelligent surface(RIS) technology as a transmission array in the positioning model.With the help of RISs,the target source can be estimated.At the same time,the single RIS transmission array model is extended to the distributed array model composed of two RISs,and the signal model,channel model and system model are constructed.The influence of different signal transmitting power and different array number on RIS positioning performance with transmission array is evaluated,and a geometric positioning algorithm with the shortest distance of different plane lines is proposed to simulate the target source position.The simulation results show that the positioning effect of the proposed distributed RIS as a transmission array-assisted positioning model and algorithm is better than that of the single array model in the existing studies.The average positioning error of the single position in the simulation is reduced by about 70%,and the position solving time is about 25% of the time of the single array model. |
| Key words: location estimation near-field positioning reconfigurable intelligent surface(RIS) transmission array distributed array |
