Passive IoT Localization Technology Based on SD-PDOA in NLOS and Multi-Path Environments  

作　　者：Junyang Liu Yuan Li Yulu Zhang Shuai Ma Gui Li Yi He Haiwen Yi Yue Liu Xiaotao Xu Xu Zhang Jinyao He Guangjun Wen Jian Li 

机构地区：[1]School of Information and Communication Engineering/Yibin Institute,University of Electronic Science and Technology of China,Chengdu,611731,China [2]Department of IoT Technology Research,China Mobile Research Institute,Beijing,100053,China [3]The 10th Research Institute of China Electronics Technology Group Corporation,Chengdu,611731,China [4]College of Information and Communication,National University of Defense Technology,Wuhan,430019,China

出　　处：《Computers, Materials & Continua》2024年第7期913-930,共18页计算机、材料和连续体（英文）

基　　金：supported in part by the Joint Project of National Natural Science Foundation of China(U22B2004,62371106);in part by China Mobile Research Institute&X-NET(Project Number:2022H002);in part by the Pre-Research Project(31513070501);in part by National Key R&D Program(2018AAA0103203);in part by Guangdong Provincial Research and Development Plan in Key Areas(2019B010141001);in part by Sichuan Provincial Science and Technology Planning Program of China(2022YFG0230,2023YFG0040);in part by the Fundamental Enhancement Program Technology Area Fund(2021-JCJQ-JJ-0667);in part by the Joint Fund of ZF and Ministry of Education(8091B022126);in part by Innovation Ability Construction Project for Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT(2303-510109-04-03-318020).

摘　　要：Addressing the challenges of passive Radio Frequency Identification(RFID)indoor localization technology in Non-Line-of-Sight(NLoS)and multipath environments,this paper presents an innovative approach by introducing a combined technology integrating an improved Kalman Filter with Space Domain Phase Difference of Arrival(SD-PDOA)and Received Signal Strength Indicator(RSSI).This methodology utilizes the distinct channel characteristics in multipath and NLoS contexts to effectively filter out interference and accurately extract localization information,thereby facilitating high precision and stability in passive RFID localization.The efficacy of this approach is demonstrated through detailed simulations and empirical tests conducted on a custom-built experimental platform consisting of passive RFID tags and an R420 reader.The findings are significant:in NLoS conditions,the four-antenna localization system achieved a notable localization accuracy of 0.25 m at a distance of 5 m.In complex multipath environments,this system achieved a localization accuracy of approximately 0.5 m at a distance of 5 m.When compared to conventional passive localization methods,our proposed solution exhibits a substantial improvement in indoor localization accuracy under NLoS and multipath conditions.This research provides a robust and effective technical solution for high-precision passive indoor localization in the Internet of Things(IoT)system,marking a significant advancement in the field.

关 键 词：Indoor localization multipath and NLoS environments combined SD-PDOA and RSSI technology 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术]