A Robust Indoor Localization Algorithm for WSN in LOS and NLOS Environment

被引：1
|
作者：
Cheng, Qiyuan [1 ]
机构：
[1] Northeastern Univ, Dept Comp & Commun, Qinhuangdao, Hebei, Peoples R China
来源：
PROCEEDINGS OF 2021 IEEE 11TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2021) | 2021年
关键词：
non-line-of-sight localization; wireless sensor network; unscented Kalnitut filter;
D O I：
10.1109/ICEIEC51955.2021.9463824
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
WSN technology is a technology that relies on the random deployment of several sensor nodes in a certain range to obtain information. WSN technology has been fully applied in many neighborhoods, and indoor positioning technology is one of the important branches. But because the signal may be seriously disturbed by the barrier in the process of propagation, we must take some measures to improve the positioning accuracy. A robust localization algorithm based on UWB technology is proposed in this paper, which can achieve long time stable tracking with high precision. The results of real experiment and computer simulation show the effectiveness of this method.
引用
收藏
页码：91 / 94
页数：4
相关论文
共 50 条
  • [31] LOS-NLOS idetification Algorithm for Indoor Visible Light Positioning System
    Huang, Chuanxi
    Zhang, Xun
    [J]. 2017 20TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC), 2017, : 575 - 578
  • [32] Moving target localization in indoor wireless sensor networks mixed with LOS/NLOS situations
    Zhang, Yunzhou
    Fu, Wenyan
    Wei, Dongfei
    Jiang, Jianjun
    Yang, Bing
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2013,
  • [33] Robust Localization for Mobile Targets Along a Narrow Path With LoS/NLoS Interference
    He, Wan-Ning
    Huang, Xin-Lin
    Xu, Zhongwei
    Hu, Fei
    Yu, Shui
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (11): : 20853 - 20866
  • [34] EXPLOITING SPARSITY FOR ROBUST SENSOR NETWORK LOCALIZATION IN MIXED LOS/NLOS ENVIRONMENTS
    Fin, Di
    Yin, Feng
    Fauss, Michael
    Muma, Michael
    Zoubir, Abdelhak M.
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 5915 - 5919
  • [35] Moving target localization in indoor wireless sensor networks mixed with LOS/NLOS situations
    Yunzhou Zhang
    Wenyan Fu
    Dongfei Wei
    Jianjun Jiang
    Bing Yang
    [J]. EURASIP Journal on Wireless Communications and Networking, 2013
  • [36] WiFi-Aided Ultra Wideband Localization in Indoor NLoS Environment
    Kong, Qiankun
    [J]. IEEE COMMUNICATIONS LETTERS, 2024, 28 (03) : 537 - 541
  • [37] An Indoor Mobile Localization Strategy Based on Particle Filter in NLOS Environment
    Huang, Yueyang
    Zhang, Siying
    Jing, Yuanwei
    [J]. PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 6518 - 6522
  • [38] MLE-based localization and performance analysis in probabilistic LOS/NLOS environment
    Shi, Xiufang
    Mao, Guoqiang
    Yang, Zaiyue
    Chen, Jiming
    [J]. NEUROCOMPUTING, 2017, 270 : 101 - 109
  • [39] INS/UWB multi-sensor integrated localization scheme in indoor LOS/NLOS environment based on MEF-GPDAF
    Cheng, Long
    Chen, Yun
    Guan, Jiayin
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2024, 120
  • [40] A Novel NLOS Mitigation Algorithm for UWB Localization in Harsh Indoor Environments
    Yu, Kegen
    Wen, Kai
    Li, Yingbing
    Zhang, Shuai
    Zhang, Kefei
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (01) : 686 - 699
12345