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作 者:Long Cheng Yan Wang Xingming Sun Nan Hu Jian Zhang
机构地区:[1]School of Information Science and Engineering, Northeastern University [2]Department of Computer and Communication Engineering, Northeastern University [3]School of Computer and Software, Nanjing University of Information Science and Technology
出 处:《China Communications》2016年第10期69-78,共10页中国通信(英文版)
基 金: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 Department under Grant No. Z2014078;the PAPD fund;NEUQ internal funding under Grant No. XNB201509 and XNB201510
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.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.
关 键 词:wireless sensor network LOCALIZATION non-line of sight identification MITIGATION
分 类 号:TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]
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