UAV-Assisted Localization Based on Joint TOA-RSS NLOS Identification

被引：0
|
作者：
Yuan, Bingbing [1 ,2 ]
He, Ruisi [1 ,2 ]
Ai, Bo [1 ,2 ]
Chen, Ruifeng [3 ]
Zhang, Haoxiang [4 ]
Liu, Bingcheng [5 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, State Key Lab Adv Rail Autonomous Operat, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Frontiers Sci Ctr Smart High Speed Railway Syst, Beijing 100044, Peoples R China
[3] China Acad Railway Sci Corp Ltd, Inst Comp Technol, Beijing 100081, Peoples R China
[4] China Acad Ind Internet, Minist Ind & Informat Technol, Beijing 100804, Peoples R China
[5] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2024年 / 28卷 / 01期
基金：
国家重点研发计划;
关键词：
UAV; NLOS identification; localization; Neyman-Pearson theorem; aerial anchor;
D O I：
10.1109/LCOMM.2023.3339182
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this letter, UAV-assisted localization of terrestrial nodes based on identification is investigated. The proposed algorithm is intended to alleviate adverse effects of non-line-of-sight (NLOS) propagation and considers air-to-ground channel model, which is mainly divided into two parts: identification and localization. First, UAV is used as an aerial mobile anchor to capture time-of-arrival (TOA) and received signal strength (RSS) measurements. According to Neyman-Pearson theorem, a joint TOA-RSS hypothesis test is performed to identify NLOS links. After that, if there are enough line-of-sight (LOS) measurements, NLOS links are discarded and only LOS links are used for multilateration. Simulation results demonstrate that the proposed algorithm outperforms for identifying NLOS links compared with existing methods, and can ensure high localization accuracy in NLOS propagation environment.
引用
收藏
页码：63 / 67
页数：5
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