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A Mobile Localization Strategy for Wireless Sensor Network in NLOS Conditions
  • ISSN号:1673-5447
  • 期刊名称:《中国通信:英文版》
  • 时间:0
  • 分类:TN[电子电信]
  • 作者机构:[1]School of Information Science and Engineering, Northeastern University, Shenyang 110819, China, [2]Department of Computer and Communication Engineering, Northeastem University, Qinhuangdao 066004, China, [3]School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • 相关基金:The authors would like to thank the reviewers for their detailed reviews and constructive comments, which have helped improve the quality of this paper. This work was supported by the National Natural Science Foundation of China under Grant No. 61403068, No. 61232016, No. U1405254 and No. 61501100; Fundamental Research Funds for the Central Universities of China under Grant No. N130323002 and No. N130323004; Natural Science Foundation of Hebei Province under Grant No. F2015501097 and No. F2016501080; Scientific Research Fund of Hebei Provincial Education Depart- ment under Grant No. Z2014078; the PAPD fund; NEUQ internal funding under Grant No. XNB201509 and XNB201510.
中文摘要:

The problem of mobile localization for wireless sensor network has attracted considerable attention in recent years. The localization accuracy will drastically grade in non-line of sight(NLOS) conditions. In this paper, we propose a mobile localization strategy based on Kalman filter. The key technologies for the proposed method are the NLOS identification and mitigation. The proposed method does not need the prior knowledge of the NLOS error and it is independent of the physical measurement ways. Simulation results show that the proposed method owns the higher localization accuracy when compared with other methods.

英文摘要:

The problem of mobile localiza- tion for wireless sensor network has attracted considerable attention in recent years. The localization accuracy will drastically grade in non-line of sight (NLOS) conditions. In this paper, we propose a mobile localization strat- egy based on Kalman filter. The key technol- ogies for the proposed method are the NLOS identification and mitigation. The proposed method does not need the prior knowledge of the NLOS error and it is independent of the physical measurement ways. Simulation re- suits show that the proposed method owns the higher localization accuracy when compared with other methods.

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期刊信息
  • 《中国通信:英文版》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国通信学会
  • 主编:刘复利
  • 地址:北京市东城区广渠门内大街80号6层608
  • 邮编:100062
  • 邮箱:editor@ezcom.cn
  • 电话:010-64553845
  • 国际标准刊号:ISSN:1673-5447
  • 国内统一刊号:ISSN:11-5439/TN
  • 邮发代号:2-539
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:187