文献类型：期刊文献

英文题名：Rfid Indoor Positioning System Based on Rssi and Intelligent Optimization Algorithm

作者：Jiang, Xue[1]; Wang, Bei[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2025

起止页码：6175

外文期刊名：Proceedings of the 37th Chinese Control and Decision Conference, CCDC 2025

收录：EI(收录号：20253519052575)

语种：英文

外文关键词：Data acquisition - Indoor positioning systems - Optimization - Software design - Systems analysis

摘要：With the development of information technology, the market's demand for precise indoor positioning is increasing. Radio frequency identification (RFID) has always been paid extensive attention from researchers in the field of indoor positioning, but the problem of difficulty in balancing system cost and positioning accuracy commonly appears in many existing RFID positioning systems. In this study, an RFID indoor positioning system based on received signal strength indicator (RSSI) and intelligent optimization algorithm is developed, including hardware selection for data acquisition and software development fusing neural network and unscented Kalman filter (UKF). Experiments in actual environment are conducted and results show that the proposed system is feasible, and achieves great positioning accuracy and robustness, showing a promised application prospect. ? 2025 IEEE.